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Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Manage a local task/backlog list (tasks.json + a generated TASKS.md) for the current repo and reconcile it with GitHub or Gitea issues, via the bundled task-sync Python tool. Supports direct commands (list/add/edit/done/remove/ status/init) and a plan-decide-apply sync that surfaces creates, pushes, pulls, conflicts, and confidentiality findings for review before anything leaves the machine, with a public-repo push warning and a --dry-run mode. Suggest when — the user wants to see or manage this repo's tasks or backlog, sync tasks with GitHub/Gitea issues, mentions a local task tracker or TASKS.md, or asks to push/pull/reconcile tasks against issues; keywords — task list, backlog, sync issues, task-sync, todo list, reconcile issues.
Initialize mandatory experiment logging using scientific notebook, ADR, and postmortem patterns. For projects involving system changes, benchmarks, debugging, or exploratory work. Creates LAB_NOTEBOOK.md with living decision/action tracking and injects iron-clad CLAUDE.md rules that make logging a PRECONDITION for every action. Suggest (do not auto-run) when — infrastructure/experimental/expensive-failure projects, multi-session work, or keywords like optimize/benchmark/debug/configure.
Generate BPMN 2.0 compliant XML files from natural language process descriptions OR from structured markdown business process documents. Use this skill when a user wants to create a BPMN workflow, convert a business process to BPMN XML, model a workflow diagram, or generate process definitions. Triggers on requests like "create a BPMN", "generate workflow XML", "model this process", "convert to BPMN 2.0", "create process diagram", "build workflow", or "convert this markdown to BPMN". Do NOT use for converting an existing BPMN XML file to Draw.io — use bpmn-to-drawio for that.
Analyze technical documents for CS/ML concepts a smart non-CS reader wouldn't understand, recommend explanation mechanisms (glossary, inline, footnote, sidebar, appendix), present analysis for approval, then implement annotations in the Word document using the project directory for contextual accuracy. Use when making technical documents accessible to non-CS audiences. Do NOT use for writing a new overview document from a codebase — use explain-project for that.
Comprehensive 9-agent architecture review — spawns parallel domain specialists (architecture, code, data, integration, performance, QA, security, platform, risk) and produces structured findings with executive report and go/no-go recommendation
Set up a persistent, LLM-maintained wiki inside any project. Creates a wiki/ directory with sources, pages, schema, and navigation files, seeds initial pages from project discovery, and injects CLAUDE.md rules that make Claude automatically maintain the wiki during normal work sessions. Suggest (do not auto-run) when — project accumulating complexity, context loss between sessions, multiple contributors, "I keep forgetting", significant domain knowledge, or LAB_NOTEBOOK.md with durable insights.
Basé sur la classification professionnelle SOC
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Arguments: $ARGUMENTS
The user may provide optional arguments when invoking this skill. Dynamic context is available via:
$ARGUMENTS — raw argument string passed by the user$CLAUDE_CONTEXT — active file/selection context (if any)!`cmd` — command output injected before Claude reads the prompt (e.g., !`git status -s`)Describe what output the skill produces (in-conversation, file, etc.)
User: /{{SKILL_NAME}}
Claude: [Example response]