feat(conductor): self-improving conductor — v1.6.0

- Wire GEPA → `conductor learn --evolve`: auto-mutate prompt template
  from failure data using Claude as mutation engine
- Generate default prompt-template.md on first `conductor start`
- Extract `isProcessAlive()` to shared utility (7 call sites deduplicated)
- Fix `conductor finalize` hardcoded origin/main — detect base branch
  dynamically via git symbolic-ref
- Fix signal handler leaks in monitor + logs commands
- Update CLAUDE.md with conductor learning loop docs

Author: StackMemory Bot (CLI)

CLAUDE.md

@@ -27,7 +27,8 @@ docs/            # Documentation
 - Database: src/core/database/sqlite-adapter.ts
 - Snapshot: src/core/worktree/capture.ts
 - Preflight: src/core/worktree/preflight.ts
-- Conductor: src/cli/commands/orchestrator.ts
+- Conductor: src/cli/commands/orchestrator.ts (core) + orchestrate.ts (CLI)
+- Process Utils: src/utils/process-cleanup.ts
 - Shared Utils: src/core/utils/{git,text,fs}.ts
 
 ## Detailed Guides
@@ -62,7 +63,12 @@ stackmemory restore    # Restore from captured state
 stackmemory snapshot save  # Post-run context snapshot (alias: snap)
 stackmemory snapshot list  # List recent snapshots
 stackmemory preflight      # File overlap check for parallel tasks (alias: pf)
-stackmemory conductor start  # Autonomous Linear→worktree→agent orchestrator
+stackmemory conductor start    # Autonomous Linear→worktree→agent orchestrator
+stackmemory conductor learn    # Analyze agent outcomes (success rate, failure phases, error patterns)
+stackmemory conductor learn --evolve  # Auto-mutate prompt template from failure data (GEPA)
+stackmemory conductor status   # Live agent status dashboard
+stackmemory conductor monitor  # Real-time TUI with phase tracking
+stackmemory conductor finalize # Clean up dead/stale agents
 stackmemory loop "<cmd>" --until "<pattern>"  # Poll until condition met (alias: watch)
 ```
 
@@ -145,6 +151,25 @@ railway up
 # Pre-publish checks require clean git status — stash GEPA files first
 ```
 
+## Conductor (Autonomous Agent Orchestration)
+
+The conductor manages autonomous coding agents via Linear issues:
+
+**Data files** (all under `~/.stackmemory/conductor/`):
+- `prompt-template.md` — Agent prompt template with `{{VARIABLE}}` substitution (auto-created on first `conductor start`)
+- `outcomes.jsonl` — JSONL log of agent outcomes (success/failure, phase, tokens, errors)
+- `evolution-log.jsonl` — History of `--evolve` mutations applied to the prompt template
+- `agents/<issue-id>/status.json` — Per-agent status files
+- `agents/<issue-id>/output.log` — Agent stdout/stderr
+
+**Learning loop**:
+1. Agents run → outcomes logged to `outcomes.jsonl`
+2. `conductor learn` analyzes patterns (success rate, failure phases, error types)
+3. `conductor learn --evolve` calls Claude to mutate `prompt-template.md` based on failure data
+4. Next agent run uses the improved template → repeat
+
+**Template variables**: `{{ISSUE_ID}}`, `{{TITLE}}`, `{{DESCRIPTION}}`, `{{LABELS}}`, `{{PRIORITY}}`, `{{ATTEMPT}}`, `{{PRIOR_CONTEXT}}`
+
 ## Task Delegation Model
 
 Route effort by task complexity — not all code changes deserve equal scrutiny:

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@stackmemoryai/stackmemory",
-  "version": "1.5.9",
+  "version": "1.6.0",
   "description": "Lossless, project-scoped memory for AI coding tools. Durable context across sessions with 56 MCP tools, FTS5 search, conductor orchestrator, loop/watch monitoring, snapshot capture, pre-flight overlap checks, Claude/Codex/OpenCode wrappers, Linear sync, and automatic hooks.",
   "engines": {
     "node": ">=20.0.0",