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Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

llm-docs-optimizer Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.
alonw0/llm-docs-optimizer 52
python-project-init Initialize complete Python project with comprehensive documentation, development environment, and tooling. Use when creating a new Python project from scratch.
pborenstein/plinth
fastapi-sweetener Add FastAPI server capabilities to an existing Python project with uvicorn, OpenAPI docs, and configuration management
pborenstein/plinth
macos-launchd-service Set up macOS launchd service for auto-starting Python applications
pborenstein/plinth
releaserator Generate semantic versioned releases with changelog and GitHub releases
pborenstein/plinth
git-workflow-hooks Install git hooks to prevent common workflow mistakes
pborenstein/plinth
writing-plans Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
shekohex/dotai 8
systematic-debugging Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
shekohex/dotai 8
subagent-driven-development Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
shekohex/dotai 8
executing-plans Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
shekohex/dotai 8
verification-before-completion Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
shekohex/dotai 8
dispatching-parallel-agents Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
shekohex/dotai 8
grill-me Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
shekohex/dotai 8
using-gemini-cli Run the `gemini` CLI in headless mode for one-off prompts, model-directed Gemini tasks, structured output capture, and follow-up messages against prior Gemini sessions. Use when the user asks to use Gemini CLI, mentions `gemini -p`, wants Gemini in non-interactive mode, wants a `flash` or `pro` Gemini run, needs project-scoped session discovery, or wants to continue an older Gemini session from the terminal instead of the interactive TUI.
shekohex/dotai 8
extreme-programming Use when pair programming with humans - enforces XP values (communication, simplicity, feedback, courage, respect) to deliver high-quality software; push back on YAGNI violations regardless of seniority or sunk cost
shekohex/dotai 8
testing-anti-patterns Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies
shekohex/dotai 8
frontend-design Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
shekohex/dotai 8
creating-pull-requests Create GitHub pull requests with `gh` in the user's concise, emoji-free style. Use this whenever the user asks to create, open, publish, or send a PR or pull request, including phrases like "create a new PR", "create a new pull request", "open a PR", "publish this branch", or "create a draft PR". Infer the upstream repo and base branch automatically, inspect the last 5-7 authored PRs and issues to mirror tone and structure, verify relevant local quality checks before opening, prefer any repo-provided PR template when present, and produce a brief high-signal PR with validation, review guidance, optional demo notes, optional Mermaid diagrams, and closing issue references when relevant.
shekohex/dotai 8
root-cause-tracing Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
shekohex/dotai 8
skill-creator Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
shekohex/dotai 8
receiving-code-review Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
shekohex/dotai 8
write-a-skill Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
shekohex/dotai 8
memory Browse and recall OpenCode local memory stored on the user's machine: local sessions, plans, conversations, prompt history, and project context. Use immediately when the user asks to check history, previous sessions, past chats, what did we do before, last time, check plans, session history, recall, memory, remember, prior work, previous context, or have we done this before. Auto-trigger proactively when resuming work, continuing a project, referencing prior decisions, debugging repeated issues, revisiting earlier plans, or any follow-up where earlier OpenCode context may help. This means OpenCode local history/files specifically, not ChatGPT/Claude cloud history, generic web search, or unrelated product memory systems. Do NOT use for fresh tasks with no relevant history, or when current files/git already answer the question.
shekohex/dotai 8
gsd-oc-select-model Interactive model selection workflow with paginated navigation. Use when users want to select a model interactively - guides them through provider selection then model selection using the question tool with pagination support for large lists.
shekohex/dotai 8