en un clic
resume
Resume a thread by loading its ~800-token context capsule
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.
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Resume a thread by loading its ~800-token context capsule
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.
Basé sur la classification professionnelle SOC
Trigger autonomous curiosity-driven exploration. The soul picks a topic from memory gaps or curiosity seeds, searches the web, and stores what it finds as dream-tagged memories.
Fine-tune the Qwen3-0.6B hint model — corpus gen, LoRA/unsloth, GGUF export, Ollama
Review soul discoveries (fixes, improvements, corrections) one by one, accept or discard each, implement accepted ones, build chitta, and optionally release.
First-principles review — question requirements, delete unnecessary parts, simplify, optimize with evidence, automate last. Use for code review, refactor, performance, or architecture.
Token-savvy session continuation. Rebuilds working context from transcript + soul memories in ~1500 tokens instead of replaying full history. Use when starting a new session to continue previous work.
Autonomous pipeline monitor using sense-think-act loop. Watches snakemake/nextflow jobs, detects errors, applies fixes from memory, restarts on failure.
| name | resume |
| description | Resume a thread by loading its ~800-token context capsule |
| execution | direct |
Load the resume capsule for a thread and surface it as context for continuing work.
Usage: /resume (shows picker) or /resume <thread_id_prefix>
_MCP_DIR=$(find $HOME/.claude/plugins/cache/genomewalker-cc-soul -name 'task_ledger.py' 2>/dev/null | head -1 | xargs dirname 2>/dev/null)
# Find matching thread
python3 "$_MCP_DIR/task_ledger.py" thread_list --status active --limit 20
Match the argument against thread_id prefix or title (case-insensitive substring). If multiple match, present them via AskUserQuestion.
List active threads:
python3 "$_MCP_DIR/task_ledger.py" thread_list --status active --limit 10
Present with AskUserQuestion. Each option: <title> [<thread_id[:8]>] — <realm>
python3 "$_MCP_DIR/resume_capsule.py" build --thread-id <thread_id>
The result JSON has a summary field — display it verbatim. It contains:
Ask: "Continue from here?" If yes, set the current thread context:
echo "<thread_id>" > "$HOME/.claude/mind/.current_thread_id"
And note the realm, git branch, conda env, and open files from the capsule so you can orient yourself immediately.
/tasks instead.