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Show current Tasuki pipeline configuration — active agents, mode, rules, hooks, MCP servers.
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Basé sur la classification professionnelle SOC
| name | tasuki-status |
| description | Show current Tasuki pipeline configuration — active agents, mode, rules, hooks, MCP servers. |
| allowed-tools | Read, Glob, Bash |
Show the current state of the Tasuki pipeline.
Read TASUKI.md and extract:
List active agents:
ls .tasuki/agents/*.md 2>/dev/null
List active rules:
ls .tasuki/rules/*.md 2>/dev/null
List active hooks:
ls .tasuki/hooks/*.sh 2>/dev/null
List available skills:
ls .tasuki/skills/*/SKILL.md 2>/dev/null
Check MCP servers:
cat .mcp.json 2>/dev/null | jq -r '.mcpServers | keys[]'
Check agent memory:
ls .tasuki/agent-memory/*/MEMORY.md 2>/dev/null
Tasuki Pipeline Status
======================
Project: {name}
Mode: {current_mode}
Agents ({count}/9):
{list with status}
Rules: {list}
Hooks: {list}
Skills: {list}
MCP: {list}
Memory: {count} agents with persistent memory
Generate and maintain compressed context summaries of the project. Used by agents to load minimal context instead of reading full files. Saves tokens and reduces latency.
Create a database migration using the project's migration tool.
Check health and status of all project services — containers, API, frontend, database, migrations.
Create a hotfix branch, apply the fix, run tests, and prepare for merge.
Write structured memory notes to the knowledge graph. Every agent uses this to record bugs, lessons, heuristics, and decisions as individual nodes with [[wikilinks]] to create a navigable graph. Two memory types -- heuristic (permanent rules) and episodic (specific events).
Switch execution mode (fast, standard, serious) or let auto-detection decide.