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.
5,396 skills from 133 repositories · updated 40 minutes ago
516 skills
- tldr-promptgithub/awesome-copilotCreate tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.ProductivityNo warnings★ 40.3K↓ —
- codebase-memory-mcpgithub/awesome-copilotUse when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing impact, auditing dead or complex code, or handling explicit Codebase Memory requests. Otherwise skip tasks confined to a supplied known file, tiny one-file check, exact literal, configuration value, error string, or non-code text.ProductivityNo warnings★ 40.3K↓ —
- workflow-orchestration-patternswshobson/agentsDesign durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.ProductivityNo warnings★ 41.4K↓ —
- task-coordination-strategieswshobson/agentsDecompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.ProductivityNo warnings★ 41.4K↓ —
- ml-pipeline-workflowwshobson/agentsBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.ProductivityNo warnings★ 41.4K↓ —
- memory-safety-patternswshobson/agentsImplement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.ProductivityNo warnings★ 41.4K↓ —
- workflow-patternswshobson/agentsUse this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.ProductivityNo warnings★ 41.4K↓ —
- context-mapgithub/awesome-copilotGenerate a map of all files relevant to a task before making changesProductivityNo warnings★ 40.3K↓ —
- context-driven-developmentwshobson/agentsCreates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.ProductivityNo warnings★ 41.4K↓ —
- 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★ 48.2K↓ —
- cold-emailsickn33/agentic-awesome-skillsWrite B2B cold emails and follow-up sequences that earn replies. Use when creating outbound prospecting emails, SDR outreach, personalized opening lines, subject lines, CTAs, and multi-touch follow-up sequences.ProductivityNo warnings★ 48.2K↓ —
- session-guardwshobson/agentsUse when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlier, when conventions drift, when output quality seems to degrade, or after any context compaction event. Prevents long-session corruption AND context compaction amnesia through behavioral self-enforcement.ProductivityNo warnings★ 41.4K↓ —
- supabasesickn33/agentic-awesome-skillsUse when doing ANY task involving Supabase.ProductivityNo warnings★ 48.2K↓ —
- bug-bountysickn33/agentic-awesome-skillsComplete bug bounty workflowProductivityNo warnings★ 48.2K↓ —
- nikasickn33/agentic-awesome-skillsRuns repeatable AI work as checked, budgeted workflow files.ProductivityNo warnings★ 48.2K↓ —
- bulletmindsickn33/agentic-awesome-skillsConvert input into clean, structured, hierarchical bullet points for summarization, note-taking, and structured thinking.ProductivityNo warnings★ 48.2K↓ —
- gitops-workflowwshobson/agentsImplement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.ProductivityNo warnings★ 41.4K↓ —
- first-askgithub/awesome-copilotInteractive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.ProductivityNo warnings★ 40.3K↓ —
- cellxgene-censusK-Dense-AI/scientific-agent-skillsQueries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.ProductivityNo warnings★ 53.4K↓ —
- cold-emailcoreyhaines31/marketingskillsWrite and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach," "outbound," "prospecting email," "SDR emails," "follow-up sequence," "nobody's replying," "email deliverability," "sending domains," "warm up inboxes," "LinkedIn outreach," "connection request message," "multichannel sequence," "cadence," "cold call," "voicemail," "handle replies," "AI SDR," "teardown outreach," or "product-led outbound." Send from secondary domains, verify lists first, turn off open tracking, and stop every channel when a prospect replies. Copy avoids AI tells like 'it's not X, it's Y' reveals. For building the list and account research, see prospecting. For lifecycle email, see emails. For call scripts and sales collateral, see sales-enablement.ProductivityNo warnings★ 55.8K↓ —
- memory-mergergithub/awesome-copilotMerges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.ProductivityNo warnings★ 40.3K↓ —
- 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★ 40.3K↓ —
- 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★ 55.8K↓ —
- churn-preventioncoreyhaines31/marketingskillsWhen the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.ProductivityNo warnings★ 55.8K↓ —
cellxgene-census
K-Dense-AI/scientific-agent-skills
ProductivityUpdated 2 days ago
From the author
Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill cellxgene-census -a claude-code
Installs to .claude/skills/cellxgene-census/ · 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
Adoption73
Files (5)
- SKILL.md
- references/api_access.md
- references/census_schema.md
- references/common_patterns.md
- references/core_workflow_patterns.md