create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure…
Use when a bug, failing test, or unexpected behaviour needs investigation, especially across sessions or context resets. Isolates it in a debugger subagent with persistent .planning/debug state, unlike skills/systematic-debugging.
$ npx -y skills add coco-research/coco --skill gsd-debug --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/gsd-debugContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a bug, failing test, or unexpected behaviour needs investigation, especially across sessions or context resets. Isolates it in a debugger subagent with persistent .planning/debug state, unlike skills/systematic-debugging.
name: gsd-debug description: "Use when a bug, failing test, or unexpected behaviour needs investigation, especially across sessions or context resets. Isolates it in a debugger subagent with persistent .planning/debug state, unlike skills/systematic-debugging." argument-hint: "[--diagnose] [issue description]" allowed-tools: - Read - Bash - Task - AskUserQuestion
<objective> Debug issues using scientific method with subagent isolation.
**Orchestrator role:** Gather symptoms, spawn gsd-debugger agent, handle checkpoints, spawn continuations.
**Why subagent:** Investigation burns context fast (reading files, forming hypotheses, testing). Fresh 200k context per investigation. Main context stays lean for user interaction.
**Flags:**
</objective>
<available_agent_types> Valid GSD subagent types (use exact names — do not fall back to 'general-purpose'):
</available_agent_types>
<context> User's issue: $ARGUMENTS
Parse flags from $ARGUMENTS:
Check for active sessions:
ls .planning/debug/*.md 2>/dev/null | grep -v resolved | head -5
</context>
<process>
INIT=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" state load)
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fiExtract `commit_docs` from init JSON. Resolve debugger model:
debugger_model=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" resolve-model gsd-debugger --raw)
If active sessions exist AND no $ARGUMENTS:
If $ARGUMENTS provided OR user describes new issue:
Use AskUserQuestion for each:
1. **Expected behavior** - What should happen? 2. **Actual behavior** - What happens instead? 3. **Error messages** - Any errors? (paste or describe) 4. **Timeline** - When did this start? Ever worked? 5. **Reproduction** - How do you trigger it?
After all gathered, confirm ready to investigate.
Fill prompt and spawn:
<objective>
Investigate issue: {slug}
**Summary:** {trigger}
</objective>
<symptoms>
expected: {expected}
actual: {actual}
errors: {errors}
reproduction: {reproduction}
timeline: {timeline}
</symptoms>
<mode>
symptoms_prefilled: true
goal: {if diagnose_only: "find_root_cause_only", else: "find_and_fix"}
</mode>
<debug_file>
Create: .planning/debug/{slug}.md
</debug_file>Task(
prompt=filled_prompt,
subagent_type="gsd-debugger",
model="{debugger_model}",
description="Debug {slug}"
)**If `## ROOT CAUSE FOUND` (diagnose-only mode):**
**If `## DEBUG COMPLETE` (find_and_fix mode):**
**If `## CHECKPOINT REACHED`:**
**If `## INVESTIGATION INCONCLUSIVE`:**
When user responds to checkpoint OR selects "Fix now" from diagnose-only results, spawn fresh agent:
<objective>
Continue debugging {slug}. Evidence is in the debug file.
</objective>
<prior_state>
<files_to_read>
- .planning/debug/{slug}.md (Debug session state)
</files_to_read>
</prior_state>
<checkpoint_response>
**Type:** {checkpoint_type}
**Response:** {user_response}
</checkpoint_response>
<mode>
goal: find_and_fix
</mode>Task(
prompt=continuation_prompt,
subagent_type="gsd-debugger",
model="{debugger_model}",
description="Continue debug {slug}"
)</process>
<success_criteria>
</success_criteria>
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.
Repo: coco-research/coco
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