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merge: integrate origin/dev into modular-enforcement branch

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Resolves all merge conflicts, preserving our split module structure
while integrating all dev changes:
- Custom agent summaries support (parseRegisteredAgentSummaries)
- Background notification queue (enqueueNotificationForParent)
- Atlas shared git-worktree module (collectGitDiffStats, formatFileChanges)
- Ralph-loop withTimeout + DEFAULT_API_TIMEOUT=5000
- Session recovery assistant_prefill_unsupported error type
- Atlas agentOverrides forwarding
- Config handler plan model demotion (buildPlanDemoteConfig)
- Delegate-task agentOverrides, promptSyncWithModelSuggestionRetry, variant
- LSP init timeout + stale init detection
- isPlanFamily function + task-continuation-enforcer hook
- Handoff command
This commit is contained in:
YeonGyu-Kim
2026-02-08 17:34:47 +09:00
parent 598a4389d1 984da95f15
commit f3f6ba47fe
74 changed files with 4016 additions and 654 deletions
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src/hooks/keyword-detector/ultrawork/default.ts
+10 -10
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@@ -104,7 +104,7 @@ TELL THE USER WHAT AGENTS YOU WILL LEVERAGE NOW TO SATISFY USER'S REQUEST.
| Architecture decision needed | MUST call plan agent |
\`\`\`
task(subagent_type="plan", prompt="<gathered context + user request>")
task(subagent_type="plan", load_skills=[], prompt="<gathered context + user request>")
\`\`\`
**WHY PLAN AGENT IS MANDATORY:**
@@ -119,9 +119,9 @@ task(subagent_type="plan", prompt="<gathered context + user request>")
| Scenario | Action |
|----------|--------|
| Plan agent asks clarifying questions | \`task(session_id="{returned_session_id}", prompt="<your answer>")\` |
| Need to refine the plan | \`task(session_id="{returned_session_id}", prompt="Please adjust: <feedback>")\` |
| Plan needs more detail | \`task(session_id="{returned_session_id}", prompt="Add more detail to Task N")\` |
| Plan agent asks clarifying questions | \`task(session_id="{returned_session_id}", load_skills=[], prompt="<your answer>")\` |
| Need to refine the plan | \`task(session_id="{returned_session_id}", load_skills=[], prompt="Please adjust: <feedback>")\` |
| Plan needs more detail | \`task(session_id="{returned_session_id}", load_skills=[], prompt="Add more detail to Task N")\` |
**WHY SESSION_ID IS CRITICAL:**
- Plan agent retains FULL conversation context
@@ -131,10 +131,10 @@ task(subagent_type="plan", prompt="<gathered context + user request>")
\`\`\`
// WRONG: Starting fresh loses all context
task(subagent_type="plan", prompt="Here's more info...")
task(subagent_type="plan", load_skills=[], prompt="Here's more info...")
// CORRECT: Resume preserves everything
task(session_id="ses_abc123", prompt="Here's my answer to your question: ...")
task(session_id="ses_abc123", load_skills=[], prompt="Here's my answer to your question: ...")
\`\`\`
**FAILURE TO CALL PLAN AGENT = INCOMPLETE WORK.**
@@ -147,10 +147,10 @@ task(session_id="ses_abc123", prompt="Here's my answer to your question: ...")
| Task Type | Action | Why |
|-----------|--------|-----|
| Codebase exploration | task(subagent_type="explore", run_in_background=true) | Parallel, context-efficient |
| Documentation lookup | task(subagent_type="librarian", run_in_background=true) | Specialized knowledge |
| Planning | task(subagent_type="plan") | Parallel task graph + structured TODO list |
| Hard problem (conventional) | task(subagent_type="oracle") | Architecture, debugging, complex logic |
| Codebase exploration | task(subagent_type="explore", load_skills=[], run_in_background=true) | Parallel, context-efficient |
| Documentation lookup | task(subagent_type="librarian", load_skills=[], run_in_background=true) | Specialized knowledge |
| Planning | task(subagent_type="plan", load_skills=[]) | Parallel task graph + structured TODO list |
| Hard problem (conventional) | task(subagent_type="oracle", load_skills=[]) | Architecture, debugging, complex logic |
| Hard problem (non-conventional) | task(category="artistry", load_skills=[...]) | Different approach needed |
| Implementation | task(category="...", load_skills=[...]) | Domain-optimized models |
src/hooks/keyword-detector/ultrawork/gpt5.2.ts
+4 -4
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@@ -73,10 +73,10 @@ Use these when they provide clear value based on the decision framework above:
| Resource | When to Use | How to Use |
|----------|-------------|------------|
| explore agent | Need codebase patterns you don't have | \`task(subagent_type="explore", run_in_background=true, ...)\` |
| librarian agent | External library docs, OSS examples | \`task(subagent_type="librarian", run_in_background=true, ...)\` |
| oracle agent | Stuck on architecture/debugging after 2+ attempts | \`task(subagent_type="oracle", ...)\` |
| plan agent | Complex multi-step with dependencies (5+ steps) | \`task(subagent_type="plan", ...)\` |
| explore agent | Need codebase patterns you don't have | \`task(subagent_type="explore", load_skills=[], run_in_background=true, ...)\` |
| librarian agent | External library docs, OSS examples | \`task(subagent_type="librarian", load_skills=[], run_in_background=true, ...)\` |
| oracle agent | Stuck on architecture/debugging after 2+ attempts | \`task(subagent_type="oracle", load_skills=[], ...)\` |
| plan agent | Complex multi-step with dependencies (5+ steps) | \`task(subagent_type="plan", load_skills=[], ...)\` |
| task category | Specialized work matching a category | \`task(category="...", load_skills=[...])\` |
<tool_usage_rules>
src/hooks/keyword-detector/ultrawork/planner.ts
+3 -3
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@@ -38,9 +38,9 @@ You ARE the planner. Your job: create bulletproof work plans.
### Research Protocol
1. **Fire parallel background agents** for comprehensive context:
\`\`\`
task(agent="explore", prompt="Find existing patterns for [topic] in codebase", background=true)
task(agent="explore", prompt="Find test infrastructure and conventions", background=true)
task(agent="librarian", prompt="Find official docs and best practices for [technology]", background=true)
task(subagent_type="explore", load_skills=[], prompt="Find existing patterns for [topic] in codebase", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="Find test infrastructure and conventions", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="Find official docs and best practices for [technology]", run_in_background=true)
\`\`\`
2. **Wait for results** before planning - rushed plans fail
3. **Synthesize findings** into informed requirements