Search and read academic papers from arxiv via Semantic Scholar API + ar5iv HTML. No OAuth, no PDF parsing. Use when the user wants to find research papers, read a specific paper, look up citations, or explore academic literature. Trigger on "find papers on", "arxiv", "research on", "look up the paper", "academic search", "semantic scholar", "what does the literature say", "read this paper", or any arxiv/ar5iv URL.
Implement new MCP prompts in the deno-mcp-template project. Provides the exact file structure, type signatures, registration steps, and patterns for prompts with static arguments or dynamic completions. Use when adding a new prompt, creating MCP prompts, or asking how prompts work in this project.
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Discover connections for a single note. Saves a connection report to the active workshop and does not mutate KB files. Use with a note path or note name.
Cross-engine dispatch layer for AI coding agents. Use when you need to: launch a worker on Codex/Claude/Gemini, recover a timed-out dispatch, steer a running worker mid-flight, or coordinate multi-model work. Trigger on: agent-mux, dispatch, spawn worker, codex worker, profile dispatch, async dispatch, steer agent, recover timeout, multi-engine. --- # agent-mux One CLI, three engines (Codex, Claude, Gemini), one JSON contract. Worker identity lives in prompt files at `~/.agent-mux/prompts/` -- markdown with YAML frontmatter that sets engine, model, effort, timeout, and system prompt. No config files, no role tables. The prompt IS the worker. ## Quick Dispatch Three patterns cover 95% of dispatches. **Profile dispatch** (the standard path -- one flag resolves everything): ```bash agent-mux -P=lifter -C=/repo "Fix the retry logic in src/client/retry.go" 2>/dev/null ``` **Async dispatch** (fire, collect later): ```bash ID=$(agent-mux -P=scout --async -C=/repo "Find deprecated API usages" 2>/dev/null | jq -r .dispatch_id) agent-mux wait --poll 30s "$ID" 2>/dev/null agent-mux result --json "$ID" 2>/dev/null ``` **Structured dispatch via stdin** (canonical machine invocation): ```bash printf '%s' '{"profile":"lifter","prompt":"Implement the fix","cwd":"/repo"}' \ | agent-mux --stdin --async 2>/dev/null ``` Parse stdout JSON. Every result has `status`, `response`, `activity.files_changed`, and `metadata.engine`. Always check `status` first. ## Profile Roster
Query Weibo users, posts, and comments through the local crawl4weibo CLI. Use when the workspace contains this repository and the user wants deterministic shell access to the project's Weibo crawling capabilities from OpenClaw.
Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter).
Interactive audit.yaml configuration for ac-audit plugin.
- 📁 reports/
- 📁 scripts/
- 📄 index.js
- 📄 manifest.json
- 📄 SKILL.md
Iteratively improve a weak skill through score, tweak, and retest loops. Run against a target skill, define failure mode and rubric, execute the loop, and get a scored report with recommendations.
Apply to a job by URL — auto-routes to the right ATS filler (LinkedIn Easy Apply / Greenhouse / Lever / Jobvite / Ashby), dry-run by default, renders an emoji-tagged result table. Proactively invoke this skill (do NOT answer conversationally) when the user pastes a LinkedIn/Greenhouse/Lever/Jobvite/Ashby job URL (with or without the word "apply"), says "apply to this", "try this one", "fill the form", "run the filler", "can you apply for me", "submit this application", drops a job posting into chat, or invokes /job-apply.
- 📁 assets/
- 📁 cron/
- 📁 docs/
- 📄 .clawhubignore
- 📄 .env.example
- 📄 .gitignore
Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Stores, searches, and injects contextual memories into LLM prompts. Includes auto-injection hook for OpenClaw and full backup/recovery system.
- 📄 README.md
- 📄 SETUP.md
- 📄 SKILL.md
Lightweight guide and router for Markster OS. Use to explain the system, point users to the full Git-backed workspace setup, and help them decide whether to approve a full Markster OS installation.