start-work
The start-work skill executes a Prometheus work plan in Codex by orchestrating parallel subagents to handle implementation, testing, QA, and review tasks while the root agent manages Boulder state updates, evidence ledger records, and plan tracking. Use this skill after the planner generates a work plan and the user signals execution with phrases like "start work," "execute plan," "continue plan," "resume plan," or requests to run a stored .omo/plans file.
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent /tmp/start-work && cp -r /tmp/start-work/packages/shared-skills/skills/start-work ~/.claude/skills/start-workSKILL.md
## ABSOLUTE RULE: YOU ARE AN ORCHESTRATOR — NEVER THE IMPLEMENTER
**YOU DO NOT WRITE CODE. YOU DO NOT EDIT PRODUCT FILES. YOU DO NOT RUN QA YOURSELF. EVERY unit of implementation, test, QA, and review work MUST be delegated to a spawned subagent. NO EXCEPTIONS.** Your hands touch only plan selection, `.omo/` state (Boulder, ledger, plan checkboxes), decomposition, dispatch, verdicts, and evidence records. About to edit a product file or run an implementation command yourself? **STOP. SPAWN A WORKER INSTEAD.** Orchestrate at **MAXIMUM PARALLELISM**: every independent unit runs concurrently; only named dependencies serialize.
## Codex Harness Tool Compatibility
Translate any OpenCode-only tool name in an inherited example to its Codex equivalent:
| OpenCode example | Codex tool to use |
| --- | --- |
| final-review `task(...)` | `multi_agent_v1.spawn_agent({"message":"TASK: act as a rigorous reviewer. ...","agent_type":"lazycodex-gate-reviewer","fork_context":false})` |
| worker `task(...)` | `multi_agent_v1.spawn_agent({"message":"TASK: act as <role>. ...","fork_context":false})` |
| `background_output(task_id="...")` | `multi_agent_v1.wait_agent(...)` for mailbox signals |
| `team_*(...)` | `multi_agent_v1.spawn_agent` + `multi_agent_v1.send_input` + `multi_agent_v1.wait_agent` + `multi_agent_v1.close_agent` |
When translating `load_skills=[...]`, name the skills inside the spawned agent's `message`. If a code block below conflicts with this section, this section wins.
## Codex Subagent Reliability
Every `multi_agent_v1.spawn_agent` message is a self-contained executable assignment: `TASK: <imperative assignment>`, then `DELIVERABLE`, `SCOPE`, and `VERIFY`, with role instructions inside `message`. Use `fork_context: false` unless full history is truly required; paste only the context the child needs.
Plan and reviewer agents may run for a long time: spawn them in the background, keep doing independent root work, and poll with short `multi_agent_v1.wait_agent` cycles — never a single long blocking wait. A timeout only means no new mailbox update arrived; treat a running child as alive. Require `WORKING: <task> - <current phase>` before long passes and `BLOCKED: <reason>` only when progress stops. Keep the parent visibly alive with active subagent count, names, and latest `WORKING:` phase. Fallback only when the child is completed without the deliverable, ack-only after followup, explicitly `BLOCKED:`, or no longer running — then record inconclusive (never a pass), close if safe, and respawn a smaller `fork_context: false` task with the missing deliverable.
# start-work
Execute a Prometheus work plan until every top-level checkbox is complete. This skill pairs with the Codex `Stop` / `SubagentStop` continuation hook (`components/start-work-continuation`), which re-injects the next turn while `.omo/boulder.json` says this `codex:<session_id>` still has unchecked plan work.
## Usage
```text
$start-work [plan-name] [--worktree <absolute-path>]
```
- `plan-name` (optional): a full or partial file stem under `.omo/plans/`.
- `--worktree` (required for PR/branch work; otherwise optional): the task-owned git worktree path.
## Phase 1: Select the plan
1. Read `.omo/boulder.json` if it exists.
2. List Prometheus plan files under `.omo/plans/`.
3. If `plan-name` was provided, select the matching plan.
4. If exactly one active or paused Boulder work exists for this session, resume it.
5. If no active work exists and exactly one plan exists, select it.
6. If no active work exists and there is no selectable plan, enter **No-plan bootstrap**.
7. If multiple plans remain possible, ask one focused selection question.
### No-plan bootstrap
When the user explicitly said `start work` / `$start-work` and no selectable plan exists, treat that phrase as approval: bootstrap `ulw-plan` to create the approved plan before execution and implementation, instead of stalling or asking for generic approval again. A brief or notes file without waves, checkboxes, and acceptance criteria is NOT decision-complete — enter this bootstrap too.
1. Invoke the `ulw-plan` skill from the current request and require its dynamic adversarial workflow: collect, verify, design, adversarial plan-review, synthesize.
2. The generated Prometheus plan must be saved under `.omo/plans/<slug>.md` before implementation or Boulder state writes that point at plan work.
3. Use maximum safe parallelism in the generated plan: independent files/tasks fan out; same-file writes, shared state, and named dependencies serialize.
4. Preserve safety boundaries. Ask one focused question only when the objective is missing, destructive, or has a safety/product ambiguity that repository exploration cannot resolve.
5. After the plan exists, continue directly to Phase 2.
## Phase 2: Create or update Boulder state
Write `.omo/boulder.json` before implementation starts. Prefix session ids with `codex:` so the continuation hook can identify its own session.
```json
{
"schema_version": 2,
"active_work_id": "<work-id>",
"works": {
"<work-id>": {
"work_id": "<work-id>",
"active_plan": ".omo/plans/<plan-name>.md",
"plan_name": "<plan-name>",
"session_ids": ["codex:<session_id>"],
"status": "active",
"worktree_path": null
}
}
}
```
For PR/branch work, `--worktree` is mandatory before implementation starts. Verify the path with `git worktree list --porcelain` or create it with `git worktree add <path> <branch-or-HEAD>`, then store the absolute path as `worktree_path`. All edits, commands, tests, and evidence capture must run inside that worktree.
## Phase 3: Execute the next checkbox
1. Read the full selected plan.
2. Find the first unchecked column-0 checkbox in `## TODOs` or `## Final Verification Wave`.
3. Ignore nested checkboxes under acceptance criteria, evidence, and definition-of-done sections.
4. Classify the checkbox tier and record it in its ledger entry. Default is LIGHT — a narrow chaAutomates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Use ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.
QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.
MUST USE when asked to find, read, list, search, inspect, fetch, export, or reconstruct coding-agent sessions across Codex, Claude Code/Desktop, OpenCode, OMO/Senpi/pi, oh-my-pi (omp), gajae-code (gjc), OpenClaw, Factory Droid, Amp, Gemini/Kimi/Qwen CLIs, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Aside browser-agent sessions, or unknown local agent logs. Covers transcripts, session IDs, rollout JSONL, state SQLite, Claude projects/pre-compact histories, OpenCode messages/parts, child/subagent linkage, cwd/model/time/token filters, archives, and cost clues. Expands fuzzy recall into parallel query lanes and first probes known stores so absent platforms are skipped cheaply. Triggers: coding agent sessions, Codex/Claude/OpenCode/OMO/Senpi/pi/oh-my-pi/omp/gajae-code/gjc/OpenClaw/Droid/Amp/Kodu/Cursor/Aider/Aside sessions, transcript search, session history, session ID, read transcript, token usage, subagent sessions, what did I do yesterday, did we already do this.
Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
Store a dag definition once and re-run it in one or two lines, instead of pasting the full definition JSON into every eval cell. MUST USE whenever the user wants to save a DAG for reuse, run a previously saved/named DAG, schedule the same graph repeatedly (nightly/weekly audits, recurring multi-agent pipelines), or asks where to put a dag definition file. Triggers: dag library, save this dag, reuse a dag, run the saved dag, stored dag definition, recurring dag, nightly dag, dag 정의 저장, 저장된 dag 실행, dag 반복 실행, DAG 만들어두고 여러 번.
Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'playwright', 'flaky test', 'fails intermittently', 'passes in isolation', 'only fails in CI'.