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.
29,591 skills from 1,220 repositories · updated 13 minutes ago
29,589 skills
- bash-linuxsickn33/agentic-awesome-skillsBash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.OtherNo warnings★ 48.4K↓ —
- bill-gatessickn33/agentic-awesome-skillsAgente que simula Bill Gates — cofundador da Microsoft, arquiteto da industria de software comercial, estrategista tecnologico global, investidor sistemico e filantropo baseado em dados.FinanceNo warnings★ 48.4K↓ —
- bug-bountysickn33/agentic-awesome-skillsComplete bug bounty workflowProductivityNo warnings★ 48.4K↓ —
- pester-should-migrationgithub/awesome-copilotExperimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -Not -Be` -> `Should-NotBe`. Tracks Pester 6, which is still a release candidate, so this guidance may change; verified against Pester 6.0.0-rc2. Use when converting Pester v5 assertions to Pester v6 Should-* operators, modernizing a Pester test suite, or when a user asks to migrate, convert, or rewrite `Should -...` calls in .Tests.ps1 / PowerShell files.TestingNo warnings★ 40.4K↓ —
- vscode-ext-localizationgithub/awesome-copilotGuidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practicesEngineeringNo warnings★ 40.4K↓ —
- dotnet-backend-patternswshobson/agentsMaster C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.TestingNo warnings★ 41.6K↓ —
- 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★ 48.4K↓ —
- paperzillaK-Dense-AI/scientific-agent-skillsReads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.ScienceNo warnings★ 54.4K↓ —
- claude-apisickn33/agentic-awesome-skillsBuild apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.EngineeringNo warnings★ 48.4K↓ —
- clean-codesickn33/agentic-awesome-skillsThis skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."EngineeringNo warnings★ 48.4K↓ —
- clerk-authsickn33/agentic-awesome-skillsExpert patterns for Clerk auth implementation, middleware, organizations, webhooks, and user syncOtherNo warnings★ 48.4K↓ —
- 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↓ —
- cohesivitysickn33/agentic-awesome-skillsProvision headless backend services for AI agents through Cohesivity: hosting, databases, storage, LLMs, and third-party APIs over one HTTP API. Use when a trusted .cohesivity file exists or the user approves a new backend.EngineeringNo warnings★ 48.4K↓ —
- hybrid-cloud-networkingwshobson/agentsConfigure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.DevOpsNo warnings★ 41.6K↓ —
- cred-omegasickn33/agentic-awesome-skillsCISO operacional enterprise para gestao total de credenciais e segredos.OtherNo warnings★ 48.4K↓ —
- convert-plaintext-to-mdgithub/awesome-copilotConvert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.OtherNo warnings★ 40.4K↓ —
- 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★ 48.2K↓ —
- 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★ 48.2K↓ —
- 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★ 48.2K↓ —
- git-flow-branch-creatorgithub/awesome-copilotIntelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.EngineeringNo warnings★ 40.4K↓ —
- ai-debt-detectorwshobson/agentsUse after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.WritingNo warnings★ 41.6K↓ —
- distributed-tracingwshobson/agentsImplement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.DevOpsNo warnings★ 41.6K↓ —
- mock-interviewreactive-resume/reactive-resumeRuns a mock interview for a specific job description. Plays the interviewer in a chosen round (recruiter screen, hiring manager, behavioral, coding, system design, case, product sense, panel), persona and difficulty; asks one question at a time, probes vague answers, and gives quote-backed rubric scores after each answer (coach mode) or at the end (realistic). Model answers use only the user's real experience. Use when the user says "mock interview me", "interview me for this job", "practice interview", "pretend you're the interviewer", "grill me for this role", "run a behavioral round", "quick recruiter screen", "hiring-manager mock", "system design mock" or "case interview practice". With Reactive Resume MCP it reads the application and stories and logs the session. For a story bank, company brief, questions to ask or a real-interview debrief, interview-prep; for scheduling or thank-you notes, job-application-manager; for fixing the resume, resume-tailor; for negotiation practice, offer-negotiation.PlanningNo warnings★ 44.8K↓ —
- polars-bioK-Dense-AI/scientific-agent-skillsPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.DataNo warnings★ 54.4K↓ —
python-resource-management
wshobson/agents
EngineeringUpdated 17 hours ago
From the author
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.
Install
npx skills add wshobson/agents --skill python-resource-management -a claude-code
Installs to .claude/skills/python-resource-management/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (2)
- SKILL.md
- references/details.md