37,402 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
A plugin that organises software work into a staged process using specialised agents for planning, architecture, design, coding, testing, and deployment. It also maintains project state, checks, and delivery records.
★not rated 553 todayA
tokens not measured
originalMIT
Trigger skvm jit-optimize with post-task evidence so it generates a reviewable optimization proposal for a skill. Use after finishing a task that was driven by any skill (not just SkVM-compiled ones) when the outcome was a failure, was partial, or the skill's instructions clearly caused confusion or an unnecessary…
Use inside Limux to identify the current pane/surface/workspace, spawn terminal panes or workspaces, launch agent tasks, coordinate same-workspace surfaces, optionally send callbacks, read peer output, and notify the human.
Skill "skill" from wavyrai/tmux-ide, covering tmux-ide — claude code skill, when to use, the agent contract, coordinating with other agents and fleet control from the cli.
A tool for creating or checking PiFlow-compatible coding-agent skills from completed data-processing tasks. It follows local templates and conventions to save the workflow as reusable skill files.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Create or revise runnable Deer Workflow orchestration modules from a user's task description. Use this skill whenever the user asks to turn a repeatable multi-step task into a Workflow, generate a deer-workflow script, coordinate several Agent Loops with parallel or pipeline, or repair a Workflow that assumes APIs are…
Plan and run AI-agent dynamic workflows for complex tasks that benefit from explicit orchestration, goal mode, subagents or simulated work packets, approval gates, integration, verification, and reusable workflow artifacts. Use when the user invokes this skill, asks for a swarm, subagents, parallel agents, a dynamic…
Initialize and wait for VibeAround subagents in a multi-agent coding turn. Use when the user's message starts with "subagent=", especially "subagent=parallel".
★not rated 523▲
+1
changed 3d agoA39 tokens
originalMIT
Use mco to run explicit multi-provider Agent invocations, stream raw answers, persist file-backed artifacts, and coordinate read-only chain/debate/synthesis stages.
Metacognitive AI agent oversight: adaptive CPI interrupts for alignment, reflection and safety. Runs locally from the @pv-bhat/vibe-check-mcp npm package. Needs 1 environment variable to run.
★not rated 502 4d agoA
tokens not measured
originalMIT
Streamline session-to-session coordination with pi-intercom. Send messages, delegate tasks, and coordinate work across multiple pi sessions on the same machine. Use for planner-worker workflows, cross-session context sharing, and real-time collaboration between sessions.
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs…
Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without slash-command syntax. Use for requests like "research X", "fact-check/adversarially review this", "review this diff/PR"…
Long-term & multimodal memory for AI agents — character isolation, video pipeline, MCP server, mem0-compatible. Runs locally from the telemem Python package. Needs 3 environment variables to run.
★not rated 489▲
+2 todayA
tokens not measured
originalApache-2.0
Turn any source that describes how a kind of task gets done (a SKILL.md, a chat log, a runbook, plain prose) into a runnable Morph trace. Lift it into a DAG, write a contract per step, place inputs, and drive the full run lifecycle to verify it. Use whenever someone wants to make a trace from a source.
★not rated 488▲
+2 2mo agoA76 tokens
originalMIT
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: