Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 8 hours ago
45,098 skills
- arrowspacesickn33/agentic-awesome-skillsSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.PlanningNo warnings★ 48.5K↓ —
- ssma-consolegithub/awesome-copilotUse when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migrationDataNo warnings★ 40.4K↓ —
- inngestsickn33/agentic-awesome-skillsInngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.OtherNo warnings★ 48.5K↓ —
- jev-usesickn33/agentic-awesome-skillsRoute enumerable judgment steps - did it work, which option, how risky, is this safe to run - to the Jev judgment model through the jev_judge and jev_gate MCP tools, batched into one call per state.OtherNo warnings★ 48.5K↓ —
- moatmrisickn33/agentic-awesome-skillsAnalyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.PlanningNo warnings★ 48.5K↓ —
- gcp-gkesickn33/agentic-awesome-skillsDeploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.DevOpsNo warnings★ 48.5K↓ —
- falsifysickn33/agentic-awesome-skillsThe scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.ScienceNo warnings★ 48.5K↓ —
- seo-geosickn33/agentic-awesome-skillsOptimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.MarketingNo warnings★ 48.5K↓ —
- bug-huntersickn33/agentic-awesome-skillsSystematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.EngineeringNo warnings★ 48.5K↓ —
- deepapisickn33/agentic-awesome-skillsUse DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.BrowserNo warnings★ 48.5K↓ —
- c4-contextsickn33/agentic-awesome-skillsExpert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies.ProductivityNo warnings★ 48.5K↓ —
- career-opssickn33/agentic-awesome-skillsMulti-CLI job-search command center: evaluate offers, scan portals, tailor CVs, track applications, prep interviews. Invoke per mode.PlanningNo warnings★ 48.5K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.EngineeringNo warnings★ 48.5K↓ —
- film-crewsickn33/agentic-awesome-skillsTurn a one-line AI video idea into a shot list and per-shot, model-ready prompts via a film crew (director, DP, gaffer, editor, script supervisor). Also fixes failing video prompts and diagnoses bad clips before a reroll. Works with Wan, LTX, Kling, Veo, Seedance, Hailuo, Runway.MediaNo warnings★ 48.5K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 48.3K↓ —
- open-code-reviewalibaba/open-code-reviewPerforms AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.EngineeringNo warnings★ 48.3K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 48.3K↓ —
- phoenix-evalsgithub/awesome-copilotBuild and run evaluators for AI/LLM applications using Phoenix.OtherNo warnings★ 40.4K↓ —
- yes-mdsickn33/agentic-awesome-skills6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.EngineeringNo warnings★ 48.5K↓ —
- vizcomsickn33/agentic-awesome-skillsAI-powered product design tool for transforming sketches into full-fidelity 3D renders.DesignNo warnings★ 48.5K↓ —
- to-prdsickn33/agentic-awesome-skillsTurn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.PlanningNo warnings★ 48.5K↓ —Also in 1 other repo
- unslopsickn33/agentic-awesome-skillsPost-process AI-generated text through the unslop CLI to strip AI writing patterns before publishingWritingNo warnings★ 48.5K↓ —
- dataladK-Dense-AI/scientific-agent-skillsRetrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.ScienceNo warnings★ 54.7K↓ —Also in 1 other repo
- ai-loopsickn33/agentic-awesome-skillsRuns a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.PlanningNo warnings★ 48.5K↓ —
c-pro
sickn33/agentic-awesome-skills
EngineeringUpdated 2 days ago
From the author
Review and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.
Install
npx skills add sickn33/agentic-awesome-skills --skill c-pro -a claude-code
Installs to .claude/skills/c-pro/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption72
Files (1)
- SKILL.md