Persistent, searchable memory for AI agents, synced with project docs, accessible via MCP for reading, writing, and searching long-term memories.
Developer Productivity Skills
65 skills available with current filters
AI Overview: Discovering Agent Skills
The Agent Skill Source directory is architected into three primary discovery layers: Outcome-based Categories (what you want to achieve), Runtime Compatibility (where the agent runs), and Execution Strategy (how the skill is processed). To find the most reliable capabilities, use the Highest Rated sort and filter by Verified trust levels.
Use the Gemini CLI for one-shot Q&A, summaries, and content generation directly from your terminal.
Execute Hugging Face Hub operations using the `hf` CLI for downloading, uploading, managing repositories, cache, and compute resources.
Optimize LLM costs by caching prompts, responses, and leveraging Cache Augmented Generation (CAG) for repeated prefixes and similar queries.
Executes a written implementation plan in batches with review checkpoints, ensuring accuracy and alignment with architect's vision.
Orchestrates Antigravity skills into guided workflows for various scenarios like SaaS MVP delivery, security audits, and AI agent builds.
Optimize context windows using compaction, masking, caching, and partitioning strategies to enhance performance and reduce costs.
Sets up debugging environments, distributed tracing, and diagnostic tools for efficient troubleshooting in development and production.
Optimize Bazel builds for large monorepos, improving performance through configuration, remote execution, and debugging.
Search and analyze your OpenClaw agent's session logs (older conversations) using jq and rg.
Scaffold production-ready React/React Native components with TypeScript, tests, styles, and documentation for accessible and performant UIs.
Manage Things 3 tasks on macOS using the `things` CLI to add, update, search, and list tasks, projects, areas, and tags.
Automate Google Calendar events, scheduling, availability checks, and attendee management using Rube MCP (Composio).
An MCP server for dynamic problem-solving through structured thinking, enabling step-by-step analysis and solution hypothesis generation.
Skill for developing applications with Gemini models and the Gemini API, covering SDK usage, model selection, and API capabilities.
CLI tool for sending and receiving iMessage/SMS messages via macOS Messages.app.
Generates production-ready SKILL.md files for AI agents, ensuring clarity, consistency, and deterministic behavior.
Reverts git changes by logical work unit (track, phase, or task) with full git awareness, aiding in undoing specific development efforts.
Guides completion of development work by presenting structured options for merge, PR, or cleanup, ensuring tests pass and worktrees are handled correctly.
Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code.
Expert in launching small, focused SaaS products fast. Validates ideas, develops MVPs, sets pricing, and launches with sustainable revenue.
Practical patterns for using fp-ts with React for type-safe state management, form validation, data fetching, and handling async states.
Automates git staging, conventional commits, and pushing to remote repositories for streamlined code contribution and collaboration.
Automate Linear tasks (issues, projects, cycles, teams, labels) via Rube MCP (Composio). Always search tools first for current schemas.
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