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resume
Resume a thread by loading its ~800-token context capsule
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Resume a thread by loading its ~800-token context capsule
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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.