A team-routing skill for assigning complex, independent knowledge or coding tasks to background workers with chosen models and reasoning levels. The main agent remains responsible for planning, combining results, and checking the final work.
Continuously execute a complex multi-phase implementation plan through configurable worker-agent loops until the plan is complete or a genuinely human-level blocker is reached. Uses fresh implementation and review contexts, reviewer-led repair, fresh re-review, durable multi-orchestrator state, and main-orchestrator…
A research skill that assembles a team of specialized agents to investigate a topic and write a report. It can cover companies, people, media reactions, communities, competitors, and background research for written content.
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your…
Bootstraps the Day-0 agent-governance + documentation scaffold for ANY project on ANY stack. Generates the agent rule system (CLAUDE.md, AGENTS.md, SELFCONSTRAINTS.md, VIBECODINGGUIDE.md) plus upstream docs (PRD, ARCHITECTURE with module cards + dependency DAG, ROADMAP, CONVENTIONS), initializes version control with a…
Create, test, improve, or audit agent skills and behavior-bearing reusable instructions, including output styles, AGENTS.md/CLAUDE.md, agent rules or prompts, and examples or explanatory prose within those surfaces. Use for evidence-driven refinement, routing, workflow or wording optimization, validation, structural…
Interactively gather a PRD (Product Requirements Document) for an agent skill that is about to be built or optimized by SkillHone. Use when the user says things like "I want to write a new skill", "help me spec this skill", "what should -skill do", or before running skillhone new / skillhone optim on a skill whose…
Find local coding-agent sessions, inspect bounded metadata or summaries, and prepare a read-only resume plan with AGF. Use for finding prior work across agent CLIs, not for executing agents, deleting sessions, or reading full transcripts.
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember…
A guide to using multiple coding subagents, which are separate agents that handle assigned tasks independently. It explains how to share facts, decisions, reviews, and blockers through durable project files.
Use the Liney CLI (liney) to inspect or control a running Liney terminal workspace and the agent sessions it hosts. Liney runs several coding agents in parallel, each in its own pane/tab/worktree, so reach for this whenever the user wants to act on a pane other than the current one — check on, coordinate, read from…
★not rated 149 3d agoBSkillSpector: warn195 tokens
originalApache-2.0
A command-line tool and web interface for asking AI models questions, reviewing code, and running multi-agent discussions. A command-line tool is software controlled by typing commands in a terminal.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Fetch today's GitHub trending repos filtered by AI/LLM/agent/ML topics. Use when user asks about popular AI projects, what's hot on GitHub today, trending open-source releases, or daily tech radar.
ALWAYS use this skill when the user asks to build, modify, or audit a FrontMCP tool. Covers everything inside @Tool({...}): class and function-style tools, Zod input/output schemas with derived execute() types, dependency injection (this.get / this.tryGet), error handling (this.fail, MCP error classes), throttling…
Create and update validated pragma/v5 Expert, ExpertTeam, Flow, Evaluation, and Automation resources. Use when a user asks Pragma to create, change, configure, test, evaluate, or repair an Expert, team, Flow, Run Dry suite, schedule, trigger, or Automation in the current Pragma project.
Use when the user explicitly asks to diagnose or improve Codex skill/plugin routing, determine which skill or plugin should handle a request, refresh or check a skill registry, investigate why a skill/plugin did not trigger, or review skill descriptions for trigger quality. Do not use for ordinary task execution when…
Change Coddy's own configuration when the user asks for it: edit settings, providers, models, logging, permissions, or find, install, update, and remove MCP servers and skills. Stages UCI-style commands and commits only after the user confirms saving. Load when the user explicitly asks to change a Coddy setting, or…
Record a user-demonstrated macOS workflow with the Open Record/Replay CLI, inspect the captured event stream, prepare a skill evidence package, and hand it to the host agent's native skill creator. Use when the user asks the agent to watch them perform a task, record a workflow, or create/refine a reusable Computer…
Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL. Use when a task needs multi-phase fan-out, pipelines, barriers, structured handoffs, or resumable background orchestration.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: