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Discover and install skills to enhance your AI agent's capabilities.

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NameContainsScore

agent-hierarchy-diagram

majiayu000/claude-skill-registry

Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.

Skills

78

1.39x

googolme/run0204

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

Skills

78

1.36x

NeverSight/learn-skills.dev

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Skills

78

1.42x

matthew-a-carr/deploy-smoke-test

v0.1.2

Confirm a production deploy actually landed and is healthy. Verifies the latest Vercel Production deployment is READY and matches the current `main` commit, runs HTTP canary checks against travel.matthewcarr.dev, confirms migrations applied, and checks for a post-deploy Sentry error spike. Use after merging to `main`, or when a human asks "is prod healthy?" / "did the deploy go out?" / "smoke test production". Read-only against prod by default.

Contains:

deploy-smoke-test

Confirm a production deploy actually landed and is healthy. Verifies the latest Vercel Production deployment is READY and matches the current `main` commit, runs HTTP canary checks against travel.matthewcarr.dev, confirms migrations applied, and checks for a post-deploy Sentry error spike. Use after merging to `main`, or when a human asks "is prod healthy?" / "did the deploy go out?" / "smoke test production". Read-only against prod by default.

Skills

78

1.53x

Implement an approved feature specification. Triggered by a routine when a spec PR is merged with the `ai:implement` label (per ADR 057), or by a human asking "implement SPEC-NNN" interactively. Follows the spec's implementation order using TDD, logs deviations, runs the full verification suite, opens an implementation PR with label `ai:done`, and closes out the spec with post-implementation notes and tech debt capture.

Contains:

implement-spec

Implement an approved feature specification. Triggered by a routine when a spec PR is merged with the `ai:implement` label (per ADR 057), or by a human asking "implement SPEC-NNN" interactively. Follows the spec's implementation order using TDD, logs deviations, runs the full verification suite, opens an implementation PR with label `ai:done`, and closes out the spec with post-implementation notes and tech debt capture.

Skills

78

2.56x

Cross-artefact consistency and quality review of an approved or draft SPEC. Use when the user says "review SPEC-NNN," before `implement-spec` runs, or by `draft-spec` / `revise-spec` before opening or updating a spec PR. Checks the SPEC against the constitution, ADRs, parent epic (if any), and tech debt register. Read-only — produces a structured report, never edits files.

Contains:

review-spec

Cross-artefact consistency and quality review of an approved or draft SPEC. Use when the user says "review SPEC-NNN," before `implement-spec` runs, or by `draft-spec` / `revise-spec` before opening or updating a spec PR. Checks the SPEC against the constitution, ADRs, parent epic (if any), and tech debt register. Read-only — produces a structured report, never edits files.

Skills

78

1.42x

Draft a SPEC from a GitHub issue and open a PR for review. Use when triggered by a routine on `Issue opened` with label `ai:plan`, or when a user asks to "draft a spec from issue #NNN". Non-interactive — proceeds on best interpretation and surfaces any unresolved questions in the SPEC's §Open Questions section rather than blocking for clarification. The PR review loop is where ambiguity gets resolved.

Contains:

draft-spec

Draft a SPEC from a GitHub issue and open a PR for review. Use when triggered by a routine on `Issue opened` with label `ai:plan`, or when a user asks to "draft a spec from issue #NNN". Non-interactive — proceeds on best interpretation and surfaces any unresolved questions in the SPEC's §Open Questions section rather than blocking for clarification. The PR review loop is where ambiguity gets resolved.

Skills

78

3.03x

Editorial reviewer for tessl.io blog articles. Scores drafts across six strategic dimensions (audience, AEO/GEO, SEO, Tessl alignment, technical depth, structure) with atom-level recommendations grouped under each dimension. Paste-ready output for Tessl's article review page.

Contains:

tessl-article-reviewer

Reviews blog articles for the Tessl blog (tessl.io/blog) under the current decision-maker editorial direction. Scores the article across six strategic dimensions (Audience & Angle, SEO, AEO/GEO & Originality, Tessl Alignment, Technical Depth, Structure & Readability) totalling /30, with atom-level recommendations grouped under each dimension. Enforces house style (no em dashes, no hype, suggestive tone, heading hierarchy, internal links), commits to one primary keyword from the five priority clusters, and outputs a paste-ready review for Tessl's article review page. Use when someone asks to review, edit, improve, structure, score, or give feedback on a Tessl blog article or draft.

Skills

78

1.66x

elevenlabs/skills

Transcribe audio to text using ElevenLabs Scribe v2. Use when converting audio/video to text, generating subtitles, transcribing meetings, or processing spoken content.

Skills

77

1.49x

administrakt0r/AI-Agents-Safe-Coding-Skills

Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.

Skills

77

1.34x

administrakt0r/AI-Agents-Safe-Coding-Skills

Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.

Skills

77

2.65x

anthropics/claude-plugins-official

This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.

Skills

77

1.60x

Dicklesworthstone/pi_agent_rust

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

Skills

77

1.24x

Dicklesworthstone/pi_agent_rust

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

Skills

77

1.16x

davepoon/buildwithclaude

Automate Google Drive file operations (upload, download, search, share, organize) via Rube MCP (Composio). Upload/download files, manage folders, share with permissions, and search across drives programmatically.

Skills

77

1.36x

openai/symphony

Create a well-formed git commit from current changes using session history for rationale and summary; use when asked to commit, prepare a commit message, or finalize staged work.

Skills

77

1.00x

elevenlabs/skills

Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.

Skills

77

1.58x

google/adk-samples

Creates product search agents with semantic search and RAG on Google Cloud (Vector Search on Gemini Enterprise Agent Platform, BigQuery, embeddings). Use when the user wants to "build a product search agent", "create an e-commerce search", "make a shopping assistant", "set up semantic catalog discovery", "ingest products into Vector Search", or "deploy a retail RAG agent". Handles the full pipeline: catalog data ingestion to BigQuery, Gemini Enterprise Agent Platform Vector Search collection setup, ADK agent scaffolding, evaluation, and Cloud Run deployment.

Skills

77

Ares960826/ares-agent-toolkit

Apply the "learning mechanics" framework — the emerging physics-style theory of deep learning training dynamics — when writing, debugging, scaling, or tuning neural-network code. Use for decisions about learning rate / batch size / width / depth scaling, μP (Maximal Update Parameterization) and hyperparameter transfer, edge-of-stability and progressive sharpening, lazy vs. rich (feature-learning) regimes and initialization scale, neural scaling laws, gradient-flow conservation laws / symmetries, neural collapse, the neural feature ansatz, and for designing scientific experiments on training. Trigger phrases: "learning mechanics", "why is training unstable", "how should I scale the learning rate with width/batch", "muP / mup / hyperparameter transfer", "edge of stability", "lazy vs rich", "feature learning regime", "scaling laws", "tune hyperparameters on a small model". Source: Simon et al., "There Will Be a Scientific Theory of Deep Learning" (2026).

Skills

77

qawolf/cli

Manage QA Wolf through the qawolf CLI. Use when asked to create, update, or list coverage requests, bug reports, or maintenance reports; start a run of flows or tags on the QA Wolf platform or read a run's results; list, set, or delete environment variables; manage environments, flows, or tags; run or list flows locally; authenticate; install the local runtime; or drive a live cloud browser (launch a runner, screenshot it, click and type on it, read its recorder) from a shell.

Skills

77

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