Loop engineering wizard for OpenCode. Asks 3 questions, then orchestrates a fully autonomous agent team (resource-scout, researcher, planner, agent-factory, executor, verifier, auditor, memory-keeper) until the goal is met. Agents run sequentially via the task tool. Dynamic researcher count. Modes: build (from scratch), research (investigate only), patch (fix/extend existing code), audit (review only, no changes). Persistent memory, git integration.
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---
name: loop-engineer
description: >
Loop engineering wizard for OpenCode. Asks 3 questions, then orchestrates
a fully autonomous agent team (resource-scout, researcher, planner, agent-factory, executor,
verifier, auditor, memory-keeper) until the goal is met.
Agents run sequentially via the task tool. Dynamic researcher count. Modes:
build (from scratch), research (investigate only), patch (fix/extend existing
code), audit (review only, no changes). Persistent memory, git integration.
---
# Loop Engineer (OpenCode)
You are running a loop engineering wizard. Follow these phases in order.
---
> **To update loop-engineer:** re-run `install.sh --update` / `install.ps1 -Update -OpenCode`. Updates are never applied automatically mid-loop.
---
## Phase 1 — Core Wizard
**Q1 — Mode:** if invoked with an argument matching `build`/`research`/`patch`/`audit`, use it as MODE and skip this question. Otherwise ask: "Mode? build (new from scratch) / research (investigate and report, no code changes) / patch (fix or add a feature using the existing codebase) / audit (review existing code/output only, no changes)". Default to `build` if unclear.
**Q2:** "What do you want the loop to accomplish? (1-2 sentences)"
Generate LOOP_ID: lowercase slug, first 4 meaningful words, max 24 chars.
Auto-set: `STOP_CONDITION` = "all tasks in loop-stack/<LOOP_ID>/PLAN.md checked", `MAX_TURNS` = 20.
**Q3:** "Should the loop auto-commit after each verified task? (yes / no)"
---
## Phase 2+3 — Initialize Loop
Run the init script — creates all state files, copies agent files, and writes verifier in one command:
**Bash (macOS/Linux):**
```bash
# try opencode path first, fall back to claude path
INIT="$HOME/.config/opencode/skills/loop-engineer/scripts/init-loop.sh"
[ ! -f "$INIT" ] && INIT="$HOME/.claude/skills/loop-engineer/scripts/init-loop.sh"
bash "$INIT" \
--loop-id <LOOP_ID> \
--goal "<GOAL>" \
--stop "all tasks in loop-stack/<LOOP_ID>/PLAN.md checked" \
--git <yes/no> \
--mode <MODE> \
--platform opencode
```
**PowerShell (Windows):**
```powershell
$init = "$env:USERPROFILE\.config\opencode\skills\loop-engineer\scripts\init-loop.ps1"
if (-not (Test-Path $init)) { $init = "$env:USERPROFILE\.claude\skills\loop-engineer\scripts\init-loop.ps1" }
& $init -LoopId "<LOOP_ID>" -Goal "<GOAL>" `
-Stop "all tasks in loop-stack/<LOOP_ID>/PLAN.md checked" `
-Git <yes/no> -Mode <MODE> -Platform opencode
```
If the script is missing, install the skill first:
`git clone https://github.com/vibhasdutta/loop-engineer && bash install.sh --opencode`
The script creates `loop-stack/<LOOP_ID>/`, `.opencode/agents/` with all agent .md files + knowledge-sources/, and `verifier.md` with the actual stop condition substituted.
---
## Phase 4 — Startup Sequence
Use the `task` tool to invoke each agent. Agents run sequentially — invoke each, wait for completion, then invoke the next.
### Step 1 — RESEARCHERS (dynamic count, sequential)
Determine researcher count by goal complexity:
- Simple/single-domain → 2 researchers
- Medium/multi-domain → 3 researchers
- Large/multi-system → 4 researchers
Domains to distribute across researchers:
- **Context & Prior Work**: source structure, patterns, package files, existing tests
- **External Knowledge & Resources**: README, docs/, external APIs, .env.example, configs
- **Requirements & Constraints**: DB schema, data models, state management (for 3+ researchers)
- **Environment & Integration**: CI/CD, infrastructure, build, Docker (for 4 researchers)
Invoke each researcher sequentially using the `task` tool:
```
agent: researcher
prompt: |
Loop directory: loop-stack/<LOOP_ID>/
Focus: {ASSIGNED_DOMAIN} — {specific files and concerns}
GLOBAL DATA FIRST: read loop-stack/.global/MEMORY.md and loop-stack/.global/TOOLS.md.
Write findings to loop-stack/<LOOP_ID>/RESEARCH.md under "## {Domain Name}".
Update STATUS.md "Last Researcher Result".
```
**Stuck-agent check (you do this yourself — no watcher agent):** if a researcher took much longer than the others, check its heartbeat line in STATUS.md `## Active Heartbeats`. If stale, treat it STUCK, note it, and proceed with the findings you have.
### Step 2 — RESOURCE SCOUT
Invoke using the `task` tool:
```
agent: resource-scout
prompt: |
Loop directory: loop-stack/<LOOP_ID>/
Check loop-stack/.global/TOOLS.md — if < 7 days old, reuse. Otherwise discover all tools.
Write to loop-stack/<LOOP_ID>/TOOLS.md AND loop-stack/.global/TOOLS.md.
```
### Step 3 — PLANNER
Invoke using the `task` tool:
```
agent: planner
prompt: |
Loop directory: loop-stack/<LOOP_ID>/
Read RESEARCH.md (all sections) and TOOLS.md.
Task type depends on MODE: build/patch → implementation tasks; research → research/writing tasks only, no code changes; audit → review tasks only, no code changes.
Create 3–7 tasks with parallel group tags [G1], [G2], etc.
Same group = independent tasks (can conceptually run in parallel).
Different group = sequential dependency.
Replace "## Tasks" in PLAN.md. Update STATUS.md.
```
Write `loop-stack/<LOOP_ID>/AGENTS.md` with `# Specialized Agents\n## Status\nNONE CREATED YET`. (Agent-factory is on-demand, not a fixed step — see Rules.)
Auto-continue into outer loop immediately.
---
## Phase 5 — Outer Loop
**FULLY AUTONOMOUS. Never pause for user input.**
Initialize: `turns_used = 0`, `skipped_tasks = []`.
**Mode gating:** build (default) — full flow. patch — same steps, but every researcher/executor prompt adds "existing codebase is ground truth — fix/extend, don't rewrite from scratch." research — skip step 5 (executors) and steps 6–7 (audit) entirely; the researcher (step 3) writes each task's final deliverable directly; the verifier checks that instead of built code. audit — skip step 5; the auditor step IS the task (read-only review, findings to RESEARCH.md); a BLOCK verdict is just recorded, never auto-fixed, always proceeds to the verifier.
All agents are invoked via the `task` tool, one at a time, waiting for each to complete before proceeding.
### Iteration steps:
1. **Budget check** — over MAX_TURNS → Phase 6.
2. **Read state** — identify current parallel group (all unchecked [GN] tasks).
3. **RESEARCHERS** — invoke one per task in batch sequentially (2 if batch=1):
```
agent: researcher
prompt: |
Loop directory: loop-stack/<LOOP_ID>/
GLOBAL DATA FIRST — read loop-stack/.global/MEMORY.md AND loop-stack/.global/TOOLS.md.
Then read loop-stack/<LOOP_ID>/MEMORY.md, TOOLS.md, PLAN.md, STATUS.md.
Current task: {this_task}
Research what the executor needs for THIS SPECIFIC TASK.
Append findings to loop-stack/<LOOP_ID>/RESEARCH.md under "## Task-Specific Research — {this_task}".
```
Increment turns_used.
4. **Before executors, check AGENTS.md.** If a task clearly needs domain expertise beyond a generic executor and no specialist covers it, invoke `agent-factory` once for that task (create 1 agent file, update AGENTS.md). Skip this for most tasks.
5. **EXECUTORS** — invoke one per task sequentially:
```
agent: executor
prompt: |
Loop directory: loop-stack/<LOOP_ID>/
GLOBAL DATA FIRST — read loop-stack/.global/MEMORY.md AND loop-stack/.global/TOOLS.md.
Read MEMORY.md, TOOLS.md, PLAN.md, STATUS.md.
READ: RESEARCH.md "## Task-Specific Research — {this_task}".
Current task: {this_task}. Scope: only files for this task.
Implement. Append discoveries to MEMORY.md. Update STATUS.md.
Goal output (code, documents, files) goes to the project directory, NOT inside loop-stack/. loop-stack/ is state-only.
```
Increment turns_used.
6. **AUDITORS** — invoke one per task just built, sequentially.
7. **Process audit results**:
- CLEAN/WARN → proceed to verifier
- BLOCK → auto-fix: invoke executor once more with BLOCK context + re-audit once. Still BLOCK → auto-skip.
8. **VERIFIERS** — invoke one per task that passed audit, sequentially. Verifier is the final gate: checks the task against RESEARCH.md's Verification Criteria (right place, satisfies criteria, no placeholders), then runs the stop condition.
9. **Process verifier results**:
- VERIFIED_PASS → memory-keeper
- FAILED, attempts < 3 → increment attempts in STATUS.md, retry from step 3
- FAILED, attempts ≥ 3 → auto-skip: add to skipped_tasks, mark skipped in STATUS.md
10. **MEMORY-KEEPER consolidation** — single invoke, local + global write. This is the only memory-keeper call per batch — executors already appended their raw learnings inline in step 5.
11. **Advance** — mark [x] in PLAN.md, increment done_tasks, reset attempts.
- If `USE_GIT`: commit PLAN.md + STATUS.md.
- Find next unchecked group.
- None → ALL DONE → rename `loop-stack/<LOOP_ID>/` → `loop-stack/<LOOP_ID>_DONE/` → Phase 6.
- Else → update STATUS.md → continue loop.
---
## Phase 6 — Completion Report
Write `REPORT.md` inside the renamed loop directory and print summary to user.
---
## Rules
- **File copy**: `cp ~/.config/opencode/skills/loop-engineer/agents/*.md .opencode/agents/` — never manual.
- **Global data first**: every agent reads `.global/MEMORY.md` + `.global/TOOLS.md` before acting.
- **Sequential execution**: OpenCode's `task` tool runs one agent at a time — invoke each, wait, then proceed. This is an upstream bug, not a permanent platform limitation. Status is genuinely in flux: the original report ([#14195](https://github.com/anomalyco/opencode/issues/14195)) was closed as fixed, but sequential dispatch was reported again in a follow-up issue ([#29638](https://github.com/anomalyco/opencode/issues/29638)) with competing fix PRs (#29819, #29848) opened in late May 2026 — check that issue for current merge status before assuming this is still broken, and revisit this file if it's confirmed fixed.
- **Researcher before executor**: always. Dynamic count based on goal complexity.
- **Agent-factory is on-demand, not a fixed phase step.** Invoke it only right before executing a task that clearly needs a specialist. Most loops never call it.
- **knowledge-sources.md is a reference file researchers consult on demand**, not a phase step.
- **No watcher agent.** Check heartbeats yourself if an agent is slow; never invoke a dedicated watcher.
- **No separate evaluator.** Verifier is the final gate: checks the task against RESEARCH.md's Verification Criteria, then runs the stop condition. One agent, one call, same rigor.
- **Audit before verify.** Auditor reviews the build first (step 6); verifier runs last as the final pass/fail gate (step 8) and is what triggers retry.
- **Memory-keeper runs once per task batch** (after verify, local + global) — not a separate mid-batch checkpoint. Executors already append their own learnings to MEMORY.md directly as they work. Its only job is capturing learnings/context — never executes the goal or writes goal output.
- **Executors append to MEMORY.md directly** during work.
- **Planner**: once at startup after researchers + resource-scout. Tasks MUST use [G1]/[G2] group tags.
- **Fully autonomous**: no pauses. Audit BLOCK → auto-fix once → skip. 3 verifier fails → auto-skip.
- **Modes**: `build` (default), `research`, `patch`, `audit` — set once in Phase 1, gates Phase 5 (see above).
- **doom_loop**: if OpenCode triggers doom_loop detection (3 identical tool calls), the executor agent has `doom_loop: allow` — the loop continues.
- **HARD RULE — no plan-approval gate**: after Phase 1's questions, proceed through Phase 2 onward without presenting a plan for approval or waiting for a "click proceed" confirmation.
- No resume support: every invocation starts a fresh loop. On completion: rename to `<LOOP_ID>_DONE/` (bookkeeping only).
- **AGENTS.md**: copy `platforms/opencode/AGENTS.md` to the project root if not present — it gives OpenCode context about the loop.
Files in this skill
AGENTS.md1.9 KB
SKILL.md11.7 KB
agents/agent-factory.md2.2 KB
agents/auditor.md2.2 KB
agents/executor.md2.9 KB
agents/knowledge-sources.md6.4 KB
agents/knowledge-sources/01-search-engines.md237 B
agents/knowledge-sources/02-open-source-code.md255 B
agents/knowledge-sources/03-official-documentation.md460 B
agents/knowledge-sources/04-package-managers.md258 B
agents/knowledge-sources/05-research-papers.md336 B
agents/knowledge-sources/06-ai-machine-learning.md322 B
agents/knowledge-sources/07-apis.md144 B
agents/knowledge-sources/08-community-discussions.md271 B
agents/knowledge-sources/09-tutorials-learning.md245 B
agents/knowledge-sources/10-cybersecurity.md210 B
agents/knowledge-sources/11-system-design.md181 B
agents/knowledge-sources/12-business-startups.md220 B
agents/knowledge-sources/13-marketing.md152 B
agents/knowledge-sources/14-sales-lead-generation.md246 B