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Found 70 Skills
Professional prompt engineering, context engineering, and AI agent orchestration for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Use when designing CLAUDE.md/AGENTS.md files, writing skills, planning multi-agent pipelines, optimizing token usage, managing session handoffs, or structuring any prompt for maximum agent performance. Do NOT use for general coding tasks or code review.
Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Document debugging sessions with hypothesis tracking and knowledge base
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
Workflow for repository reconnaissance and operations using GitHub CLI (gh). Optimizes token usage by using structured API queries instead of blind file fetching.
Browser automation workflows with Playwright MCP integration
Learn how to manage conversation context in AMCP to avoid LLM API errors from exceeding context windows. This skill covers SmartCompactor strategies, token estimation, configuration, and best practices.
Configure project memory files (CLAUDE.md, AGENTS.md, CODEX.md) for persistent context, coding standards, architecture decisions, and team conventions. Reference for the 4-tier memory hierarchy, cross-platform compatibility, and quick-add commands.
Audit and optimize OpenClaw API costs. Applies six proven optimizations — model routing, prompt caching, lean context, local heartbeats, rate limits, and workspace trimming — to cut monthly spend by up to 90%. Use when asked to reduce costs, optimize tokens, audit API spend, or configure cost-saving settings.
Turn any MCP, OpenAPI, or GraphQL server into a CLI at runtime with zero codegen, saving 96-99% of tokens wasted on tool schemas
Context compression and summarization methodology. Techniques for reducing token usage while preserving decision-critical information.