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Found 243 Skills
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
Agentic OS Orchestrator. Process and execute tasks from the shared .agent/state/tasks.json queue. Use when the user asks to 'check the queue', 'process tasks', or run the heartbeat.
Script-First llms.txt generator. Uses a deterministic script to crawl the project structure, identify brand guides, and catalog content files. Provides a repo manifest for the agent to draft context-aware /llms.txt and /llms-full.txt files.
Use when working with UnifAPI public-data APIs or the UnifAPI MCP server: connecting OAuth MCP clients, discovering operations, calling social/search/scrape/news APIs, troubleshooting UnifAPI auth, or deciding between MCP OAuth and API-key fallback. Always use before asking for UnifAPI credentials or calling UnifAPI tools.
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
Integrate and operate BOUND, the deterministic bounded-utility control policy for agent workflows. Use when an agent must install bound-policy, define StepContracts, collect real ExecutionEvidence, evaluate meaningful execution boundaries, react to ACCEPT/RETRY/REPLAN/ROLLBACK, audit an existing BOUND integration, or produce a reproducible numeric integration report.
Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents.
Capture conversation lessons as permanent reusable skill files.
Unified lifecycle management for all framework artifacts (skills, agents, hooks, workflows, templates, schemas)
How to create and maintain agent skills in .agents/skills/. Use when creating a new SKILL.md, writing skill descriptions, choosing frontmatter fields, or deciding what content belongs in a skill vs AGENTS.md. Covers the supported spec fields, description writing, naming conventions, and the relationship between always-loaded AGENTS.md and on-demand skills.
Conduct deep research using OpenAI's deep research models via API. Use when the user asks for comprehensive analysis, company research, person research, or product research requiring web-sourced citations.
Evaluate every produced output (code, report, plan, data, API response) against type-specific quality criteria, score 1-10, make accept/reject decisions, and provide actionable improvement suggestions. Triggers on "evaluate", "check", "review", "quality control", "is this good enough", "score it", or before passing output to the next step in an agentic workflow.