Shows WORK progress and TASK status. Use when the user asks about WORK list, WORK progress, TASK status, or pipeline status (e.g., "WORK list", "WORK-01 progress", "show status").
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Check and report the current status of WORKs and TASKs.
works/WORK-LIST.md for the master index of all WORKsworks/WORK-NN/PROGRESS.md for TASK-level progressworks/WORK-NN/TASK-NN_result.md for completion details| Status | Meaning |
|---|---|
IN_PROGRESS | WORK created, TASKs being executed |
DONE | All TASKs committed — committer auto-sets on last TASK |
COMPLETED | Archived to _COMPLETED/ — set during push |
WORK Status
WORK-01: User Authentication ✅ 5/5 completed
WORK-02: Payment Integration 🔄 2/4 in progress
WORK-03: Admin Dashboard ⬜ 0/6 pending
Query: $ARGUMENTS
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
The English summary is being prepared. Showing the original description.
Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
The English summary is being prepared. Showing the original description.
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
The English summary is being prepared. Showing the original description.
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
The English summary is being prepared. Showing the original description.
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
The English summary is being prepared. Showing the original description.
Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
The English summary is being prepared. Showing the original description.