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.
45,433 skills from 2,188 repositories · updated 28 minutes ago
45,431 skills
- 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↓ —
- copywritingcoreyhaines31/marketingskillsWhen the user wants to write, rewrite, or improve marketing copy for any page, including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "hero section copy," "this copy is weak," "this sounds like AI," "AI slop," "make it sound human," or "help me describe my product." Drafts never use AI tells like "it's not X, it's Y" reveals, "no X, no Y, no Z" lists, or sentences that trail into extra comma clauses. For email copy, see emails. For popup copy, see popups. For editing existing copy, see copy-editing. For the offer underneath the copy (bonuses, guarantees, value framing), see offers. Claims must be supportable, and a declined claim names the evidence that would unlock it. Diagnoses the input first (blank brief, real voice, or point edit) and changes only what it calls for.MarketingNo warnings★ 56.3K↓ —
- github-issuesgithub/awesome-copilotCreate, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, manage repository labels, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", "set the priority", "set the start date", "create a label", "rename a label", "list repo labels", "link issues", "add dependency", "blocked by", "blocking", or any GitHub issue management task.ProductivityNo warnings★ 40.4K↓ —
- test-valuett-a1i/archifyImprove test value and feedback cost when auditing slow, flaky, redundant or brittle tests; choosing tests during implementation; or reviewing test changes before a commit or PR. Keep ordinary implementation and pre-commit use scoped to the affected behavior, not a repository-wide audit.TestingNo warnings★ 88.5K↓ —
- binary-analysis-patternswshobson/agentsMaster binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.EngineeringNo warnings★ 41.6K↓ —
- competitorscoreyhaines31/marketingskillsWhen the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'competitor teardown,' 'audit our competitor pages,' 'are our comparison pages out of date,' or 'competitive asset audit.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For auditing existing claims (not researching competitors from scratch, which is competitor-profiling; not technical SEO on these pages, which is seo-audit), use the asset audit here. For internal battle cards and sales-specific competitor docs, see sales-enablement.MarketingNo warnings★ 56.3K↓ —
- 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↓ —
- database-migrationwshobson/agentsExecute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.DataNo warnings★ 41.6K↓ —
- connectivity-triagewshobson/agentsUse this skill when debugging active macOS connectivity failures, when an API or MCP service times out or disconnects, when DNS resolution is failing or inconsistent, or when video calls or other interactive traffic show packet loss or latency. Isolate local-LAN, DNS, upstream-path, and remote-service/application fault domains with built-in, non-destructive tools.MediaNo warnings★ 41.6K↓ —
- attributioncoreyhaines31/marketingskillsWhen the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves — "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI and conversion tracking, see conversion-tracking. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.TestingNo warnings★ 56.3K↓ —
- understand-chatEgonex-AI/Understand-AnythingUse when you need to ask questions about a codebase or understand code using a knowledge graphEngineeringNo warnings★ 88K↓ —
- c-prosickn33/agentic-awesome-skillsReview and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.EngineeringNo warnings★ 48.4K↓ —
- embedding-strategieswshobson/agentsSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.PlanningNo warnings★ 41.6K↓ —
- ad-creativecoreyhaines31/marketingskillsWhen the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'ChatGPT ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use it to produce or iterate ad copy at scale. Copy avoids AI tells like 'it's not X, it's Y' reveals. For campaign strategy and targeting, see ads. For landing page copy, see copywriting. Test hypotheses must be falsifiable, naming the metric, the comparison, and the expected direction.MarketingNo warnings★ 56.3K↓ —
- python-configurationwshobson/agentsPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.EngineeringNo warnings★ 41.6K↓ —
- terraform-module-librarywshobson/agentsBuild reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.DevOpsNo warnings★ 41.6K↓ —
- bats-testing-patternswshobson/agentsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.TestingNo warnings★ 41.6K↓ —
- onboardingcoreyhaines31/marketingskillsWhen the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup. For ongoing email sequences, see emails.ProductivityNo warnings★ 56.3K↓ —
- v-developmentgithub/awesome-copilotGuide GitHub Copilot through V language development: installing the toolchain, project layout with v.mod, building, testing, formatting, and writing idiomatic V including Option/Result error handling. Use when the user works with V source files, v.mod projects, or asks about V syntax, tooling, and conventions.TestingNo warnings★ 40.4K↓ —
- python-observabilitywshobson/agentsPython observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.DevOpsNo warnings★ 41.6K↓ —
- trace-to-training-datawshobson/agentsConvert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.OtherNo warnings★ 41.6K↓ —
- error-handling-patternswshobson/agentsMaster error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.OtherNo warnings★ 41.6K↓ —
- pptx-deck-contextwshobson/agentsUse when preparing the narrative, sources, and design context for a new editable PPTX deck.DocumentsNo warnings★ 41.6K↓ —
- tiny-steppinggithub/awesome-copilotIncremental development workflow that makes the smallest meaningful change per step and pauses for feedback, so the direction gets validated early before continuing. Use for careful, iterative implementation with continuous validation.ProductivityNo warnings★ 40.4K↓ —
cloud-logging-query-generation
google/skills
OfficialDataUpdated 2 days ago
From the author
Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.
Install
npx skills add google/skills --skill cloud-logging-query-generation -a claude-code
Installs to .claude/skills/cloud-logging-query-generation/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance100
Maintenance100
Licence100
Adoption67
Files (24)
- SKILL.md
- references/api_reference.md
- references/attribution.md
- references/query_app_engine.md
- references/query_audit_logs.md
- references/query_bigquery.md
- references/query_cloud_functions.md
- references/query_cloud_observability.md
- references/query_cloud_run.md
- references/query_cloud_source_repositories.md
- references/query_cloud_sql.md
- references/query_cloud_storage.md
- +12 more