autoworker

name	autoworker
description	Auto-loop execution workflow with quality gates. Use when starting any non-trivial implementation task. Provides automatic task decomposition, code implementation, testing (L1-L4), and iterative quality gates until completion. Invoke with /autoworker.
user-invocable	true
version	1.0.0
author	phj128
license	MIT
tags	workflow, automation, quality-gates, testing
allowed-tools	Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, AskUserQuestion, Skill
hooks	{"Stop":[{"hooks":[{"type":"command","command":"sh \"${CLAUDE_SKILL_DIR}/../../scripts/state-persist.sh\"","timeout":5}]}],"SessionStart":[{"matcher":"clear","hooks":[{"type":"command","command":"sh \"${CLAUDE_SKILL_DIR}/../../scripts/state-recover.sh\"","timeout":5}]}]}

Autoworker: Auto-Loop Execution Workflow

Two paths: Plan Mode (discussion) → /clear → Execution (implementation). /clear is the boundary. Different paths, completely different behaviors.

Core Principles (Apply Throughout)

The hard standard for "tested": Actually execute commands and observe output. The following do NOT count as tested:

• grep confirming content exists — only confirms it was written, not that it works
• bash -n syntax check — only confirms no syntax errors, not that logic is correct
• Read viewing file content — only confirms text is correct, not that execution results are correct

Counter-intuitive principle: The smaller the change, the easier it is to skip verification — but verification cost is equally low, so there's no reason to skip.

Special note: Instruction file refactoring (SKILL.md / prompt template structural changes) is not a "documentation task" — it is the highest-risk change type (silent failure, affects all subsequent sessions) and must be fully verified.

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Path A: Plan Mode (Discussion Phase — With Context)

Trigger: Receive a non-trivial task → EnterPlanMode (not typo fixes or single-line additions).

After entering Plan Mode, immediately invoke autoworker:deep-plan.

autoworker:deep-plan ensures discussion depth through 5 structured phases:

Phase	What	Depth Gate
1. Motivation Exploration	Continuously ask why, challenge "is this really needed"	Motivation expressible in 1-3 clear sentences
2. Assumption Challenge	List implicit assumptions, challenge each one	Each assumption has verification method or flagged risk
3. Solution Derivation	Derive solution from motivation, compare alternatives, 4-question review	User makes explicit choice with reasoning
4. Acceptance Criteria	Discuss quantitative/behavioral metrics separately	Each metric can become an L4 test case
5. Plan Output	Consolidate into plan file (fixed format for subtask-init extraction)	95% confidence self-check passes

Forbidden: Skipping deep-plan and jumping straight to a solution. Plan depth determines the quality ceiling of the execution chain.

→ After autoworker:deep-plan completes, call ExitPlanMode. Then /clear to enter execution session.

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Path B: Execution Session (After /clear — No Context, Only Plan)

Trigger: After /clear or new session, you see the plan produced by Plan Mode (injected via system context).

Key insight: This plan is the product of thorough discussion with the user in the previous session. Goals, scope, success criteria, and verification methods have already been confirmed. No need to ask confirmation questions. The first action is to invoke autoworker:subtask-init to create subtask.md from the plan and start the execution chain. Do not investigate before creating subtask — investigation is part of assumption verification inside autoworker:subtask-init, not a prerequisite.

Verified failure mode: Claude sees plan → wants to "investigate the current state first" → finishes investigating and starts coding directly → subtask.md never created → no execution chain constraints → no gate-check quality gate.

Execution Chain (Skill Auto-Chaining + Self-Iteration Loop)

Core idea: The execution chain is not linear — it's a self-iteration loop. Write code → test → check → find gaps → update plan → write more code → test again... until quality meets the bar, then deliver to user. Each step is enforced by skill chaining, leaving no room to skip steps.

Execution chain pseudo-code:

autoworker:subtask-init
    Pause old active subtask → Write acceptance criteria + status: active
    → autoworker:subtask-plan

autoworker:subtask-plan
    Multi-subtask positioning (active) → silent failure analysis → acceptance coverage check
    → autoworker:dispatch

while autoworker:dispatch (multi-subtask positioning):  # Re-read active subtask each time
    match state:
        has incomplete Phase  → autoworker:code → autoworker:checkpoint → continue
        has untested layer    → autoworker:test → autoworker:checkpoint → continue
        all tests complete    → autoworker:gate-check (acceptance traceability → PASS/FAIL) → continue
        Gate = FAIL           → autoworker:subtask-update → continue
        Gate = PASS           → status: completed → output completion report → break

Skill	Responsibility	Chains To
autoworker:subtask-init	Persist goals + acceptance criteria + assumptions, pause old active, run assumption verification	→ autoworker:subtask-plan
autoworker:subtask-plan	Silent failure analysis + traceability table + L1-L4 verification plan + coverage check + solution self-check	→ autoworker:dispatch
autoworker:dispatch	Multi-subtask positioning (active), read checkbox state, route (sole routing point)	→ dynamic
autoworker:code	Implement one Phase of code	→ autoworker:checkpoint
autoworker:test	Execute one test layer	→ autoworker:checkpoint
autoworker:checkpoint	Record keeping (check off Phase / write test results)	→ autoworker:dispatch
autoworker:gate-check	Acceptance criteria traceability + confidence self-assessment + supplementary verification + self-check. Sets completed on PASS	→ autoworker:dispatch
autoworker:subtask-update	Add/correct subtask items	→ autoworker:dispatch

Hard rules:

• The execution chain uses automatic skill chaining — each skill forcibly invokes the next at the end. Manual step-skipping is neither needed nor allowed.
• After each test layer passes, you must invoke autoworker:checkpoint (invoke the skill, do not manually edit subtask).
• Before autoworker:gate-check PASS, you cannot claim "done".
• Complete all self-executable verification autonomously before returning to user. Do not pause mid-chain to report.
• No manual skill substitution: Do not "fill in the verification plan yourself" instead of autoworker:subtask-plan, do not "write test results yourself" instead of autoworker:checkpoint, do not "route yourself" instead of autoworker:dispatch.
• No chain interruption for context concerns: After entering Path B, do not suggest /clear, do not say "context is getting full, suggest breaking up", do not stop the execution chain citing context. The 1M context has automatic compression — context management is the system's job, not yours. Your sole responsibility is to run the execution chain until gate-check PASS. (Note: In interactive discussion, suggesting to split genuinely large tasks is reasonable — this rule only constrains the execution chain.)

Testing: 4 Progressive Layers

Layer	What It Verifies	Example
L1 Build	Compilation/type check passes	pnpm build, bash -n *.sh, python -m py_compile
L2 Unit	Individual function/module logic is correct	Specific function call + expected output
L3 Chain	Multi-module collaboration, correct data flow	Feed downstream with actual upstream output, no hand-written simplified data
L4 End-to-End	Complete user path, from input to final effect	Simulate actual user operation path, no skipping steps

L4 is mandatory. L2/L3 can be skipped but must state justification.

Mid-Course Correction Protocol (When User Gives Feedback During Execution)

Trigger: User says "change to X", "also need to consider Y", "wrong direction", etc.

Do NOT immediately Edit/Write. First confirm:

1. Restate understanding: "You mean change A to B, because C?"
2. Ask scope: "Just this one place or all similar places?"
3. Ask reason (if not obvious): Different reasons may lead to completely different implementations.
4. After confirmation → update subtask.md → then modify code.

High-frequency failure mode: User says "change to Y" during execution → immediately Edit → misunderstanding → rework. Root cause: Treating user feedback as explicit instruction rather than the start of a discussion.

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Execution Rules

Minimum Change Principle

Only change what the user asked for. No opportunistic refactoring, adding comments, renaming variables, or reformatting. Every line in the diff must map to a user requirement.

No Silent Error Swallowing

try/catch: catch must have explicit recovery logic and specific error types. For Python: no bare except Exception:.

No masking missing values with defaults: Do not use dict.get(key, None), getattr(obj, attr, None) to avoid errors. Only two legal patterns:

• Key definitely exists → dict[key] / obj.attr (should raise if missing)
• Unsure if exists → explicit if key in dict / hasattr check before access (clear intent)

Debug: 2 Failures → Diagnose, Don't Retry

Same approach fails consecutively twice → stop retrying, enter diagnostic mode.

"Same approach" test: If modifications are based on the same unverified assumption, it's the same approach even if the code differs.

Diagnostic three steps:

1. Make assumptions explicit: "I assume: [behavior], because [evidence]" — if you can't write this, you're guessing blindly, stop first
2. Minimum observable unit: Break the failing operation into steps where you can see actual state at each point
3. Build diagnostic tool: Extract the failing component into a minimal reproducible standalone test

Counter-intuitive behavior confirmed by diagnosis → write to findings.md.

Instruction File Changes Must Be Tested

After modifying SKILL.md or prompt templates, you must re-run affected workflows. Instruction files don't throw errors — only actual execution can verify the effect.

Approach: Delete old output → re-run affected workflow → grep to confirm changes took effect.

L4 for instruction files: Simulate a fresh session walking the actual user path. Reading file content and thinking "looks right" ≠ verified.

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Anti-Loss Protocol

/clear wipes all conversation context. Disk files (subtask, progress, plan) survive, but discussion conclusions that exist only in context are permanently lost.

Hard Rules

1. NEVER suggest /clear — unless the user explicitly requests it. If context feels long, trust auto-compression (1M context). Context management is the system's job, not yours.
2. When user requests /clear — first check: are there discussion conclusions not yet written to files? (plan direction, scope decisions, assumption analysis, user preferences). If yes → write them to plan file / findings.md / subtask progress log FIRST. If no → allow /clear.
3. Persist discussion results in real-time — after each deep-plan Phase completes, write conclusions to the plan file immediately. Don't wait until the end to write everything at once. Important findings → write to findings.md immediately.
4. "Persisted" = written to file — "remembering" in context does NOT count. Only Write/Edit to a disk file counts as persisted.

Verified Failure Mode

Claude feels context is too long → suggests /clear → user does it → new session remembers nothing → previous plan discussion completely wasted. Root cause: discussion conclusions were only in context, never written to files.

Recovery after /clear

When starting a new session after /clear:

1. Check for subtask_*.md files → if found, call autoworker:dispatch to resume
2. No subtask but user gives new task → call autoworker:subtask-init
3. Neither → normal conversation
4. If something feels missing — ask the user to re-state it. Do NOT guess from vague memory.

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File Structure

Navigation rule: When exploring directories, check CLAUDE.md index first, then Glob/Grep. CLAUDE.md is a semantic index with higher information density than a file listing.

Layered CLAUDE.md: Project-level has structure tree + module index; subdirectory-level has file list + purpose.

File tracking:

File	Purpose
subtask_*.md	Per-task work document (created by autoworker:subtask-init from plan)
task_plan.md	Project-level plan (big picture)
progress.md	Project-level progress tracking
findings.md	Discoveries and counter-intuitive behaviors

Archive structure (claude_docs/):

Subdirectory	Content
subtask/	Archived subtasks that passed gate-check
debug_log/	Debug archives
reference/	Research notes, architecture analysis, non-subtask documents

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Sub Agent Rules

Preventing stuck agents: Prompt must contain three elements (all required):

1. Search scope: Limit to specific directories/file types/keywords (never write "find all related")
2. Termination condition: What to find before returning (e.g., "definition location is sufficient")
3. Output format: What form the result should take

Progressive search: Glob/Grep → Explore quick → medium → very thorough. Do not start with very thorough.

Cross-directory: Explicitly state project root path and working directory path in the prompt.

Long output analysis: Short (< 50 lines) — read directly; long logs — use a sub-agent to analyze and return conclusions.

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Reference Documents

Consult these files for detailed examples and methodology when needed:

File	When to Read
references/verification_system.md	When designing verification plans or assumption checks
references/debug_methodology.md	When hitting 2 consecutive failures and entering diagnostic mode
references/file_conventions.md	When setting up project file structure or archiving subtasks
references/proxy_metrics.md	When designing acceptance metrics or proxy indicators

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Recovery After /clear

Mandatory first step after /clear or new session (before any investigation, reading code, or writing code):

Core principle: The user's current message intent > stale file state on disk.

Mandatory flow after /clear (in order, no skipping):

1. First determine the user's current message intent (highest priority):
   a. User message contains an explicit new execution task (has plan, has specific requirements, "Implement X")
      → autoworker:subtask-init (create new subtask.md, start new execution chain)
      → Old subtask files don't affect the new task (they're work documents for different tasks)
   b. User has no new task (empty message, pure question, says "continue", etc.)
      → continue to step 2

2. Glob subtask_*.md
   → Exists and has in-progress task → autoworker:dispatch (resume execution chain)
   → Does not exist → normal conversation

Forbidden: Skipping this flow to jump straight into investigation or coding.

Verified failure modes:

1. Claude wants to "investigate current state before creating subtask" → finishes investigating and starts coding directly → subtask never created → no execution chain → no quality gates.
2. Old subtask exists + user gave new task → Claude thinks it should dispatch to old subtask → skips autoworker:subtask-init → new task has no subtask.md → no execution chain. Root cause: File state prioritized over user intent.