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
- 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↓ —
- verify-agent-actiongithub/awesome-copilotReview a proposed AI-agent action or human-approval packet before execution. Use when an agent wants to run a consequential tool, command, deployment, message, purchase, credential operation, or data mutation; when checking whether approval still matches the exact action; or when auditing action evidence for forged results, parameter swaps, replay, correlated reviewers, missing evidence, expiry, or stale monitoring. Produce an evidence-based review only—never execute or authorize the action.DevOpsNo warnings★ 40.4K↓ —
- 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↓ —
- unshipsickn33/agentic-awesome-skillsCompare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.DesignNo warnings★ 48.5K↓ —Also in 1 other repo
- what-context-neededgithub/awesome-copilotAsk Copilot what files it needs to see before answering a questionProductivityNo warnings★ 40.4K↓ —
- d365-solution-blueprintgithub/awesome-copilotAuthors a Dynamics 365 Finance and Supply Chain Management Solution Blueprint from scratch through a structured, section-by-section architect interview, establishing scope, target operating model, application and data architecture, integration landscape, migration strategy, security model, ALM, testing, deployment, and support approach, with a decision log capturing rationale and rejected alternatives. Use when the user wants to create D365 implementation architecture documentation, start a D365 implementation, design the architecture, prepare a Solution Blueprint, or identify the architectural decisions the programme must make. Do not use for critique of an existing design; that is a review task rather than blueprint authoring.SecurityNo warnings★ 40.4K↓ —
- csharp-xunitgithub/awesome-copilotGet best practices for XUnit unit testing, including data-driven testsTestingNo warnings★ 40.4K↓ —
- declarative-agentsgithub/awesome-copilotComplete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integrationOtherNo warnings★ 40.4K↓ —
- cosmosdb-datamodelinggithub/awesome-copilotStep-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" fileDevOpsNo warnings★ 40.4K↓ —
- agent-supply-chaingithub/awesome-copilotVerify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"OtherNo warnings★ 40.4K↓ —
- moyusickn33/agentic-awesome-skillsAnti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.EngineeringNo warnings★ 48.5K↓ —
- java-hibernate-jpagithub/awesome-copilotDiagnose and fix Hibernate ORM / Jakarta Persistence problems in plain Java: N+1 queries, lazy loading errors, identifier generation, entity equals/hashCode, cascades, pagination, batching, locking, caching, Lombok on entities, and Hibernate 6/7 differences. Use when reviewing or writing JPA entities, mappings, and queries. Framework-neutral.WritingNo warnings★ 40.4K↓ —
- job-application-managerreactive-resume/reactive-resumeRuns the job-search pipeline. Adds jobs from a link or pasted posting, keeps stages and dates accurate, sets follow-ups, runs a weekly review (stale applications, next actions, funnel stats), records the exact resume version sent, and drafts networking, LinkedIn, referral, recruiter-reply, follow-up, thank-you, status-check, expedite and withdrawal messages without sending them. Use when the user says "add this job to my tracker", "I applied", "log my interview", "I got rejected", "I was ghosted", "log my offer", "track my applications", "do my weekly review", "what should I follow up on", "write a thank-you note", "message this recruiter", "ask for a referral", "withdraw my application", or wants a job-search spreadsheet. Works with a Markdown/CSV tracker or Reactive Resume MCP tools. Not for resume work (resume-tailor, resume-bullet-writer, resume-content-guide), interview prep or practice (interview-prep, mock-interview), or judging, negotiating, accepting or declining an offer (offer-negotiation).DataNo warnings★ 44.9K↓ —
- automate-thisgithub/awesome-copilotAnalyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.MediaNo warnings★ 40.4K↓ —
- honosickn33/agentic-awesome-skillsBuild ultra-fast web APIs and full-stack apps with Hono — runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.DevOpsNo warnings★ 48.5K↓ —
- cmuxsickn33/agentic-awesome-skillsControl cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.OtherNo warnings★ 48.5K↓ —
- mcp-security-auditgithub/awesome-copilotAudit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP package-runner dependencies use exact reviewed versions, not bare names, @latest, or ranges - Detecting mutable npm/npx, bunx, pnpm dlx, yarn dlx, and npm exec references in MCP configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]SecurityNo warnings★ 40.4K↓ —
- nikasickn33/agentic-awesome-skillsRuns repeatable AI work as checked, budgeted workflow files.ProductivityNo warnings★ 48.5K↓ —
- agent-architecturegithub/awesome-copilotDesign AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.PlanningNo warnings★ 40.4K↓ —
- csharp-mstestgithub/awesome-copilotGet best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven testsTestingNo warnings★ 40.4K↓ —
- vision-sftwshobson/agentsFine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.MediaNo warnings★ 41.7K↓ —
tugboat
github/awesome-copilot
OtherUpdated 22 hours ago
From the author
Anxiety-aware, evidence-driven collaboration for stalled or high-stakes work when a user says uncertainty, repeated setbacks, or lack of visible progress is causing significant anxiety or distress. Use immediately when explicitly invoked; when this fit is only inferred from the user's own account, ask permission before applying it. Preserve the user's ideal and turn grounded perspective-taking into persistent, bounded problem solving. Do not use to diagnose, provide therapy, manufacture certainty, or lower goals for reassurance.
Install
npx skills add github/awesome-copilot --skill tugboat -a claude-code
Installs to .claude/skills/tugboat/ · 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
Adoption71
Files (1)
- SKILL.md