agent-skills

A collection of AI agent skills — reusable workflows, protocols, and knowledge packs for agentic systems. Skills follow the Agent Skills open format, making them compatible with any agent framework that supports the standard.

Bundles are this repository's convention for organizing related skills under a single umbrella with shared reference material; they appear in the same alphabetical catalog as standalone skills. Compatible harnesses are guaranteed to see the umbrella skill. Nested subskill auto-loading depends on the harness or on the umbrella skill's instructions.

Skills

actuarial-risk-modeling

Expert statistical modeling for insurance, actuarial, and financial-risk decisions, including regression, GLMs, claims, forecasting, calibration, tail risk, and model governance.

adr-authoring

Preserve the reasoning behind consequential architecture choices so later contributors can understand, revisit, or supersede them responsibly.

agent-council

Multi-agent structured debate system — spawn a panel of expert agents to debate any question with convergence-aware iteration. Produces a decision landscape with confidence diagnostics, shared risks, remaining disagreements, and a principal's path narrative. Ships as a pip-installable Python package built on PydanticAI + PydanticGraph. pip install pydantic-ai && pip install agent-council and one API key to run your first debate.

agent-evals-and-observability

Design and review framework-neutral AI-agent evaluations, trajectory evidence, risk-tiered release gates, and privacy-aware observability. Covers datasets, grader calibration, statistical comparisons, incident-to-case learning, optional OpenTelemetry interoperability, and templates for durable evidence.

agent-production-operations

Operate an evaluated agent with tools and authority in production through a runtime control plane covering versioning, staged rollout, fallback, cost and latency budgets, tool health, human escalation, disablement, and trace-to-eval feedback.

agent-skills

Reference for the Agent Skills open format itself — directory structure, frontmatter schema, naming conventions, and progressive disclosure model. Use this meta-skill when creating or reviewing any other skill in this repository.

ai-governance

Design and operate an organization's AI governance system: governance principles, operating models and decision rights, risk frameworks, lifecycle gates, and fairness, transparency, privacy, security, regulatory, and board-oversight controls. Use when standing up or maturing a governance program, tiering use-case risk, reviewing an LLM or agent system for governance and safety gaps, mapping a regulation to a compliance plan, or preparing board reporting. Do not use for legal interpretation (route to legal-strategy), data-governance mechanics (data-architect/data-engineering), or implementing application security (secure-software-engineering).

ai-operating-economics

Decide whether an AI-enabled workflow should be adopted, scaled, constrained, redesigned, or retired by connecting workflow outcomes, worker or user effects, quality guardrails, full operating cost, telemetry, uncertainty, and accountable governance. Routes detailed financial, statistical, analytics, evaluation, runtime, governance, and launch work to the owning specialist skills.

analog-occultism

Create subject-neutral images and videos in an analog occultism / industrial CRT noir aesthetic: near-monochrome archival technical atmosphere, severe low-key lighting, tactile signal degradation, industrial geometry, and quiet unresolved tension. Not for colorful cyberpunk, glossy advertising, conventional horror, or clean digital renders.

anydoc

Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and text-based PDF documents to GitHub-Flavored Markdown locally with the Any Doc CLI. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF you cannot read directly. Do not use for generating, editing, or validating documents, for ebook packaging, or for OCR of scanned or image-only PDFs.

api-design-and-evolution

Design, govern, document, review, and evolve consumer-facing HTTP, GraphQL, RPC, event, webhook, and streaming interfaces. Covers consumer jobs, domain semantics, API landscapes, ownership, lifecycle, topology, contracts, failure behavior, compatibility, deprecation, migration, and deployed-boundary verification. Do not use for product discovery, platform operations, full security assessment, ADR authoring, or delivery gates.

artifact-pyramids

Structure durable research work so people and agents can start with conclusions, then inspect the analysis and underlying evidence only when needed.

ascii-city-engine

Build portable, first-person colored ASCII city engines and small GIS-derived city packs. Covers terrain-following pedestrian physics, raycast-to-character-grid rendering, a pluggable city-provider JSON contract with an offline validator, reproducible public-GIS ingestion, and a committed downtown Raleigh sample pack. Not for WebGL/3D games, multi-level interiors, or committing full-resolution GIS archives.

autogen

An expert-level skill for building conversational multi-agent systems with Microsoft's AutoGen framework. Unlike graph-based or role-based orchestration, AutoGen uses agent-to-agent conversations as the orchestration primitive.

backend-engineering

Design and implement backend services and APIs — REST, gRPC, GraphQL endpoint patterns, clean/hexagonal/layered services, event-driven handlers, outbox/inbox delivery, migration coexistence, database access, integrations, errors, and service-level testing. Language agnostic; routes API contracts, decomposition strategy, cross-system migration, data engineering, and platform provisioning to their owners.

binary-analysis

Analyze unknown PE, ELF, Mach-O, and firmware files through a deterministic CLI backed by Ghidra's static-analysis engine. Covers triage, imports, decompilation, call paths, and structured evidence reports without executing or modifying the binary.

bmad

Run the BMad method (Breakthrough Method of Agile AI-Driven Development) as a harness-agnostic control-plane protocol: compress human intent into a five-field contract, classify work as direct/bounded/initiative and route to the smallest safe path, carry decisions in durable artifacts, review as triage, route failure to the layer where ambiguity entered, and gate autonomy on observable acceptance with machine-readable status. Use for intent capture, bounded implementation, review, and resumability in any agent harness.

brand-designer

Create comprehensive brand identity documentation for any brand. Guides you through documenting strategy, visual identity (logo, color, typography, imagery), voice and tone, application guidelines, governance, and asset inventory. Produces markdown specs, compiled brand books, and brand-compliant images via reference-image-aware generation. Ships 7 templates, a brand-book CLI for validation/compilation, and a generate script for brand card and mockup imagery.

c4-diagramming

Make system boundaries, responsibilities, and relationships legible at the architectural level appropriate to the reader.

capacity-and-cost-engineering

Model technical capacity, unit cost, and budget constraints connected to demand, performance, and reliability decisions. Covers growth forecasting, peak sizing, degraded-mode capacity, multi-tenant demand distributions and skew, pooled/siloed headroom, tier-linked admission and fairness evidence, tenant-variable unit cost, budget/quota controls, representative load/soak evidence, and SLO-cost tradeoff records. Routes SaaS architecture, security, financial outcomes, infrastructure implementation, SRE, analytics, and general architecture to their specialist owners. Ships focused references, six fillable templates, and ten evals.

chief-of-staff-methodology

Prepare executive decisions, information triage, organizational sensing, institutional memory, and calendar choices with accountable human authority, transparent data use, and reviewable trade-offs.

cli-builder

Build and refactor CLI tools for AI agent consumption. 10 universal patterns (non-interactive, --json, --dry-run, idempotent, lazy auth, progressive help), an agent-compatibility test suite, a Python API client pattern, and a bash scaffold template. Principles grounded in real failures from building 15+ agent-facing CLIs.

cncf-landscape

Discover and compare cloud-native technologies from the live CNCF Landscape API, then turn the evidence into a constraint-aware shortlist with trade-offs, unknowns, and a bounded validation plan. Ships a stdlib-only query CLI, API caveats, a decision framework, an output template, and six evals.

color-management

Expert-level ICC profile color management for open-source workflows. Covers color science fundamentals (CIELAB, xyY, chromaticity), working space selection (sRGB, ProPhotoRGB, ACEScg, Rec.2020), ICC profile operations (convert, assign, extract, embed), gamut analysis, sRGB variant comparison, and color difference (dE) computation. Ships 6 Python scripts that wrap ImageMagick, ArgyllCMS, Exiftool, and LittleCMS; 5 reference files covering overview, operations, tool commands, working space data, and a full glossary. Distilled from Elle Stone's ninedegreesbelow.com and Bruce Lindbloom's color science resources.

conditional-customer-success

A conditional skill for products with recurring human relationships — success plans, health evidence, renewal and expansion signals, QBRs, escalation, and closed-loop Voice of Customer. Declines to load for products without accounts, renewals, QBRs, or a customer-success team (internal tools, transactional products, public services without account-based engagement). Provides four product-model adaptations (B2B subscription, transactional, public-service, internal product), reference material on privacy and human-judgment boundaries, and four templates (applicability decision, success plan, health/risk record, escalation and feedback closure).

confluence-cli

Atlassian Confluence from the terminal. List spaces, browse pages, view content with body extraction, search with CQL, and create pages. Same API token as Jira.

crewai

An expert-level skill for building role-based multi-agent teams with CrewAI. Agents are defined as Roles with Goals and Backstories; crews are composed with sequential or hierarchical workflows.

crm

Operate HubSpot CRM from the terminal: list and search contact records, view deal pipeline stages, and move deals between stages with confirmation. Ships a bounded stdlib CLI (contacts list/get/search, deals list/update-stage, pipelines list) with --json, --limit, and a --dry-run/--yes mutation gate for stage changes.

crowdsec

Deploy, configure, and manage CrowdSec — the open-source, collaborative IPS/IDPS/WAF. Covers Security Engine installation (Linux, Docker), cscli hub management, remediation components (firewall, Traefik, Nginx), AppSec WAF, profiles, notifications, blocklists, CTI, metrics, and production best practices. Ships 7 reference files for deep dives into config, AppSec, Docker, Traefik integration, database backends, hub collections, and troubleshooting.

cyberpunk

Create or analyze original settings, scenes, world operations, and image direction through the material, social, and human-scale logic of William Gibson’s Sprawl fiction. Distinguishes canon, inference, and original adaptation; does not imitate Gibson’s prose or continue named canon.

daily-life-discovery

Guide a consent-based conversation that helps people discover how an AI agent could improve their day-to-day life, then match those needs to verified capabilities, reusable skills, and focused platform CLIs.

data-architect

Act as a virtual data architect. Discover data assets, assess maturity, evaluate platforms, design architectures, establish governance, and create migration plans. Covers modern data patterns (data mesh, data lakehouse, streaming, real-time analytics) with vendor evaluation frameworks and maturity models.

data-cleaning

Clean, profile, validate, reshape, and document messy data through an evidence-first, reproducible workflow with reusable plans, contracts, reports, and a dependency-free profiler.

data-engineering

Design and operate data infrastructure — database operations (vector, relational, graph, time-series), ETL/ELT pipeline design (dbt patterns, incremental loading), SQL analytical patterns, data quality monitoring, schema migration, and storage infrastructure management. Do not use for statistical analysis or ML model development.

data-scientist

PhD-level expertise in data science, statistics, and machine learning. Rigorous statistical methodology, experimental design, causal inference, Bayesian analysis, model selection and diagnostics, and research-grade communication. Ships five analysis scripts (power analysis, assumption diagnostics, model comparison, effect size calculator, experimental design generator) with Python + R dual-language support.

de-spin

Analyze propaganda, spin, selective framing, deceptive marketing, and AI-generated persuasion by tracing claims to evidence and separating literal truth from implied conclusions. Produces a calibrated assessment of what is true, false, misleading, complicated, unsupported, or unknown, with an evidence ledger and a decision-safe next step.

digital-twin

Design and operate trustworthy digital twins and federated twin universes for software systems, engineering processes, infrastructure, agentic software factories, and cyber-physical operations. Covers architecture, synchronization, provenance, simulation, VVUQ, twin health, authority, governance, lifecycle, and decommissioning. Do not use for ordinary dashboards, static dependency graphs, or one named infrastructure tool without a twin-specific feedback loop.

docker-compose

Define, run, debug, and harden multi-container applications with Docker Compose. Covers the Compose Specification, lifecycle and healthchecks, service networking, volumes, secrets, profiles, interpolation, overrides, Compose Watch, CI, production patterns, and troubleshooting. Ships 9 references, 5 templates, and a portable diagnostics script.

documents

Generate, inspect, validate, and fix PDF, Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) documents through one shared workflow (scope, content model, template, render, validate, deliver) with per-format references, generation templates, and a stdlib validation script that performs structural sanity plus a render check with graceful degradation when no renderer is installed.

dsm5

Assess and explain mental health and neurocognitive questions against DSM-5-TR diagnostic criteria, and guide evidence-based conversations for clinicians, patients, and family members. Use for symptoms, possible conditions, differential diagnoses, criteria, prevalence, and specifiers — not for formal diagnosis, treatment decisions, crisis intervention, or legal/insurance determinations.

dspy

An expert-level skill for programmatic prompt optimization with Stanford's DSPy framework. You write Python programs with typed signatures; DSPy optimizes the prompts automatically. This is the framework for prompt engineering that doesn't feel like engineering.

email

Send and diagnose transactional email through Twilio SendGrid: send with --dry-run/--yes confirmation, check deliverability (bounces and spam reports), and verify Signed Event Webhook signatures with a self-contained ECDSA P-256 verifier. Ships a bounded stdlib CLI with --json and --limit.

enterprise-architecture

Connect enterprise outcomes to capabilities, value streams, application and information portfolios, operating models, decision rights, and feasible transition architectures. Keeps system design, organization design, product roadmaps, technology posture, and corporate strategy with their neighboring owners.

epub

EPUB file format expert — read, write, edit, convert, and repair EPUB2/EPUB3 ebooks. Ten CLI scripts: structure inspection, text extraction, knowledge extraction (LLM mode via env vars), scaffold creation, surgical editing, image extraction, batch processing, EPUB2→3 conversion, repair, and validation. Eight reference files covering format internals, Python libraries, spec/validation, tutorials, capability discovery, fixed-layout, accessibility, and media overlays. Portable across any AgentSkills harness.

esp32-development

Build, configure, flash, test, debug, and recover complete ESP32 systems across ESP-IDF C/C++, Arduino/PlatformIO, MicroPython, CircuitPython, ESPHome, Zephyr, Rust, and NuttX. Covers board and pin identification, electrical safety, sensors, actuators, buses, networking, sleep, OTA, production security, native command-line tools, and evidence-first troubleshooting. Ships focused references, safe bring-up templates, a non-mutating host preflight, and safety evals.

ffmpeg

Expert FFmpeg command-line guidance for inspecting, remuxing, transcoding, filtering, combining, streaming, and troubleshooting media with explicit mappings, build-aware assumptions, and post-run verification.

financial-modeling

Build and review assumptions-led financial models, unit economics, pricing, fundraising scenarios, and SaaS operating metrics.

fireflies

Fireflies.ai meeting intelligence from the terminal. Query transcripts, summaries, analytics, AskFred, and workspace data through source-faithful GraphQL documents; safely preview confirmed mutations and verify Webhooks V2 signatures locally.

flaresolverr

Use a private FlareSolverr service through a dependency-free JSON CLI when ordinary HTTP retrieval is blocked by a browser challenge.

flaresolverr-cli

Use a small FlareSolverr JSON CLI for browser-backed GET and POST requests, readiness checks, and session lifecycle management.

forgejo-cli

Safe Forgejo API v1 CLI for issues, pull requests, repositories, file contents, metadata, webhooks, and user settings. Includes a guarded generic /api/v1/ route for version-specific endpoints such as Actions and admin APIs.

forward-deployed-engineering

Carry an embedded technical engagement from an ambiguous need to an adopted, measurable capability and a deliberate generalization decision across discovery, build, deployment, adoption, and field learning.

frontend-engineering

Build and maintain web frontends — component architecture, state management, API integration, responsive layout, client-side performance, and frontend testing patterns. Framework agnostic, focused on web frontend implementation. Do not use for backend service implementation, data engineering, or platform infrastructure work.

genius-life

Guide a person in cultivating creativity in their own work and life: open conversational sessions on creative blocks, habits, environment, motivation, and resilience, or structured development of a concrete project or fledgling idea through a five-phase practice. Do not use for therapy or clinical support, general life coaching, product or stakeholder discovery, or as a study guide for a book.

ghost

Ghost CMS from the terminal. Manage posts and pages, list tags, and check site info. Admin API key from Ghost Integrations. JWT authentication handled automatically.

github-runner

Deploy, manage, and troubleshoot self-hosted GitHub Actions runners. Covers systemd, Docker, Kubernetes (ARC), and Scale Set Client deployments.

go-to-market

CMO methodology — positioning and messaging frameworks (April Dunford's positioning, message hierarchy), customer acquisition strategy (paid, organic, PLG, SLG), brand architecture (brand house vs house of brands), growth modeling (CAC/LTV by channel, cohort analysis), market entry strategy (beachhead, land-and-expand), competitive response (pricing wars, feature races, brand defense).

grafana

Operate Grafana OSS, Enterprise, and Cloud with version-aware discovery, decision-oriented dashboards, end-to-end alert routing, explicit as-code ownership, evidence-led troubleshooting, and guarded security or production changes.

gutenberg

Search, download, and extract public-domain books from Project Gutenberg. Look up books by ID or keyword via gutendex, download plain-text and EPUB editions, strip licensing boilerplate, and classify fiction vs non-fiction. Ships a portable Python CLI with zero external dependencies.

haystack

An expert-level skill for building production search and NLP pipelines with Haystack. Pipelines are validated DAGs with typed components and explicit connections.

hugo-theme

Build, customize, and debug advanced Hugo CMS themes. Covers template architecture, asset pipeline (Hugo Pipes, Tailwind CSS, PostCSS, images), shortcodes and render hooks, page bundles and content adapters, Hugo Modules, performance optimization, SEO/structured data, design/UX/accessibility, custom output formats, and CI/CD. Ships 7 reference files covering each topic area.

implementation-planning

Turn an approved requirement or specification into an executable, dependency-aware delivery plan. Covers work breakdown into vertical slices, dependency mapping with critical-path analysis, ownership assignment, sequencing and parallelism, staged rollout strategy with rollback paths, and verification traceability against the original requirement. Supports cross-team, cross-repository, data migration, and staged-rollout scenarios. Does not plan unapproved work — entry gate enforces prerequisite approval.

incident-learning

Convert operational incident and near-miss evidence into verified, owned improvements across product, code, tests, evals, operations, and governance. Separates observed facts from causal hypotheses and unresolved uncertainty; maps escaped-from gaps (requirements, monitoring, authority, migration, adoption); assigns domain-specific follow-up work with owners and verification methods; and requires evidence of the implemented change — not just tickets — for closure. Routes implementation to SRE, QA, verification, agent evals, product lifecycle learning, implementation planning, resilience-and-recovery, and production-readiness. Ships 4 references (discovery brief, evidence/inference taxonomy, escaped-from analysis, follow-up domains, verification and closure), 4 templates (incident-learning record, causal/evidence ledger, follow-up work map, verification and closure record), and 5 evals.

jellyfin

Jellyfin media server from the terminal. Log in as a user or use an API key, check server info, browse recently added and library contents, search and inspect media, walk series/seasons/episodes, see next-up episodes, and view statistics — with MediaBrowser auth, user-id scoping, and response-shape quirks documented.

jira

Atlassian Jira from the terminal. Search issues with JQL, view details, create issues, add comments, count matches, list projects, and transition status. Includes a full JQL reference (functions, history predicates, date expressions) plus REST auth/pagination guidance. API token from id.atlassian.com.

kanban-guru

A virtual Kanban expert for engineering teams. Diagnose flow problems, design board configurations, calibrate WIP limits, establish service level expectations, set up multi-portfolio operating models, and navigate Scrum-to-Kanban transitions. Covers all seven cadences, classes of service, Little's Law, flow metrics, and the full practitioner's playbook with rich reference material.

kubernetes

Operate and troubleshoot Kubernetes safely across upstream Kubernetes, k3s, RKE2, MicroK8s, k0s, Talos, OpenShift/OKD, kind, Minikube, Rancher, EKS, AKS, and GKE. Covers workloads, APIs, version skew, networking, storage, scheduling, autoscaling, security, policy, backups, upgrades, observability, and evidence-first diagnosis. Ships the agent-first k8s-cli wrapper, diagnostic scripts, templates, and dated source references.

langchain

An expert-level skill for building LLM-powered applications with LangChain — the most widely adopted LLM orchestration framework. LCEL chains, RAG pipelines, agents, LangSmith observability, and LangServe deployment.

langgraph

Build multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows using directed graphs. Covers all major patterns: supervisor (centralized routing node, ~94% accuracy), swarm (direct agent-to-agent handoffs, ~40% fewer LLM calls), and hierarchical teams (subgraph composition with nested state). Includes state management (checkpointers/stores), persistence, production debugging, and evaluation methodology. Ships 3 Python scripts (supervisor scaffold, swarm scaffold, eval generator), 3 runnable templates, and 8 reference files covering architecture, each pattern in depth, evals, production failures, and troubleshooting.

lastfm

Last.fm music data API from the terminal. Lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts, search, manage tags, and scrobble listening events. API key from last.fm/api/account/create (free). Includes a music discovery pipeline for turning liked tracks into recommendations.

legal-strategy

CLO/General Counsel methodology — regulatory landscape analysis (GDPR, CCPA, AI Act, sector-specific), IP strategy (patent, trademark, trade secret, open source licensing), contract risk assessment (indemnification, liability caps, force majeure), data privacy frameworks (privacy-by-design, DPIAs, data mapping), corporate governance (board responsibilities, fiduciary duties, shareholder rights), employment law (classification, IP assignment, non-competes).

life-coach

Guide bounded, user-led coaching for adult nonclinical goals, decisions, transitions, habits, ambivalence, accountability, and progress review. Keeps choices with the person, routes direct requests and specialist needs correctly, and includes expert references, original templates, safety and anti-dependency boundaries, deployment controls, and a capability-contract validator.

linear

Work with Linear teams, projects, cycles, issues, comments, workflow transitions, and documents using a small, dependency-free GraphQL CLI with bounded reads, dry-run previews, and focused reference guidance.

litellm

Operate, configure, secure, and troubleshoot the LiteLLM AI gateway (proxy) and Python SDK: one OpenAI-compatible config routing to 100+ providers, model lists and load-balanced groups, virtual keys/teams/budgets/rate limits, caching and guardrails, observability and spend, deployment and public-facing hardening, and evidence-led failure diagnosis. Ships a read-only litellm-health probe (--json), proxy-config and deployment record templates, 9 dated references, tests, and 6 evals. Routes engine selection to ml-engineering and single-engine operation to vllm/llama-cpp.

llama-cpp

Operate llama.cpp from hardware-aware installation and GGUF selection through verified local inference, OpenAI-compatible serving, reproducible tuning, multi-GPU operation, and evidence-led troubleshooting. Uses dated upstream sources, operation and benchmark templates, and six output-quality eval cases without adding a wrapper CLI.

llamaindex

An expert-level skill for building LLM applications over your data with LlamaIndex. RAG pipelines, multi-agent orchestration, event-driven workflows, knowledge graph construction, and production deployment.

mermaid-diagrams

Create maintainable diagrams that render reliably in the documentation surfaces where readers actually encounter them.

meshcore-packet-capture

Operate MeshCore Companion radio packet capture over BLE, serial, or TCP. Covers MQTT publishing, TOML and environment configuration, token authentication, Docker, systemd, launchd, NixOS, and evidence-first troubleshooting.

migration-engineering

Plan and execute safe cross-system migrations, including service extraction from monoliths, with compatibility windows, dual-running, backfills, reconciliation, cutover, deprecation, and cleanup. Distinguishes rollback, roll-forward, restore, and irreversible recovery paths. Routes implementation to API, data, platform, release, and SRE specialists, while leaving decomposition decisions to the architecture owner.

ml-engineering

Machine learning engineering methodology — model training, fine-tuning (LoRA/QLoRA), evaluation, quantization, deployment, and MLOps pipeline design. Grounded in practical engineering patterns for production ML systems.

mobile-development

Build, test, sign, and ship mobile apps across iOS, Android, Flutter, and React Native as ONE family skill with per-framework references: project scaffolding, builds and code signing, device and emulator testing, store submission (App Store/TestFlight and Google Play), app lifecycle and backgrounding, offline and sync, and mobile-specific testing. Ships 4 framework references (ios, android, flutter, react-native) and 6 evals. Routes web UI work to frontend-engineering and server-side work to backend-engineering.

multi-tenant-saas-architecture

Design end-to-end multi-tenant SaaS architectures by connecting tenant semantics, control/application planes, tenancy and partitioning choices, onboarding, entitlements, metering, billing handoffs, lifecycle, restore, noisy-neighbor behavior, and tenant-aware operations. Routes security, capacity, finance, platform, API, implementation, data, migration, and privacy details to their specialist owners.

neckbeard

Evidence-driven software delivery operating model — routes a change through framing, discovery, design, implementation, review, verification, delivery, and learning, choosing the smallest safe intervention and proving it at the real delivery boundary. Every non-trivial run leaves an inspectable evidence ledger. Composes the specialist catalog rather than replacing it. Ships a versioned evaluation harness that measures SDLC outcomes, never LOC. Not a "10x developer" persona.

notion

Operate Notion from the terminal: retrieve pages, query databases, search pages and databases, and update page properties with confirmation. Ships a bounded stdlib CLI (pages get/create/update, databases query, search) with --json, --limit, and a --dry-run/--yes mutation gate for creates and updates.

nous-branding

Generate images and content consistent with the Nous Research brand identity. Ships four reference images (color palette card, official high-res mascot, brand collage) that can be used as img2img inputs. Covers the Nous Girl mascot specs, cyber-classical art style, texture system (risograph grain, CRT scan lines, photocopy noise), hex-accurate color palette, and image prompt templates for text-only and reference-image-driven workflows.

Cross-pollination note: This skill was developed in parallel with plntrprotocol/nous-branding — a sibling project created independently, in friendship, for the same purpose. We've been learning from each other's approaches throughout development, and each repo has strengths the other doesn't. If you're using ours, go check out theirs too.

open-knowledge-format

Google's Open Knowledge Format (OKF) v0.1 — create, validate, and consume vendor-neutral AI agent knowledge bundles. Markdown files with YAML frontmatter, organized in directory hierarchies with cross-links and progressive disclosure. Ships a validation script, concept template, example bundle, and detailed references covering the spec, bundle architecture, and real-world use cases.

openlibrary

Query the Open Library catalog from the terminal: search books and authors, look up works, editions, and ISBNs, enumerate every edition of a work, read community ratings, and resolve cover-image URLs. Fully keyless public API — no API key required.

opensource-contributions

Comprehensive open source contribution guidance — from reading CONTRIBUTING.md and filing good bug reports through branching, committing, PR creation, and the release cycle. Covers both contributor and maintainer workflows with progressive disclosure: a concise orchestrator SKILL.md loads detailed phase references on demand. Includes a portable PR template compliance checker script. Agent disclosure template for AI-assisted contributions.

operational-design

Design and improve operational processes and organizational scaling — process design, opera