Loading...
Loading...
Found 54 Skills
Turn any MCP, OpenAPI, or GraphQL server into a CLI at runtime with zero codegen, saving 96-99% of tokens wasted on tool schemas
Background Agent Pings
Compact, compress, or minify markdown files to use fewer tokens while preserving all information and meaning. Use this skill whenever the user wants to reduce the size of a markdown file, shrink a README, compress a SKILL.md or CLAUDE.md, minify documentation, or make any markdown more token-efficient. Trigger even if they just say "make this shorter" or "compress this" on a markdown file.
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.
Show context usage heatmap for current session
Automatically detects story settings (genres, time periods, themes) based on keywords and activates corresponding knowledge bases - works silently in the background to provide relevant writing guidance without user intervention
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
Generate a smart bootstrap prompt to continue the current conversation in a fresh session. Use when (1) approaching context limits, (2) user says "handoff", "bootstrap", "continue later", "save session", or similar, (3) before closing a session with unfinished work, (4) user wants to resume in a different environment. Outputs a clipboard-ready prompt capturing essential context while minimizing tokens.
Workflow for repository reconnaissance and operations using GitHub CLI (gh). Optimizes token usage by using structured API queries instead of blind file fetching.
Performs semantic code intelligence and token optimization through context engineering and automated context packing. Use when reducing token overhead for large codebases, creating repository digests with Gitingest, packaging code context with Repomix, or tracing cross-file dependencies with llm-tldr.
Analyze CLAUDE.md files for token bloat and suggest optimizations
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.