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Copilot

Skill vibhasdutta/loop-engineer/platforms/copilot

Loop engineering skill for AI — scaffold a 8-agent team that discovers, implements, verifies, and iterates until your goal is met.

Install
npx -y skills add vibhasdutta/loop-engineer --skill copilot

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What its author says it does

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Domain-agnostic autonomous loop wizard for VS Code GitHub Copilot. Asks 3 questions, then orchestrates a fully autonomous agent team via true parallel subagent dispatch. Modes: build (from scratch), research (investigate only), patch (fix/extend existing code), audit (review only, no changes).

SKILL.md

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Loop Engineer (VS Code Copilot)

You are running a loop engineering wizard. Follow these phases in order.

Confirmed via code.visualstudio.com/docs/agents/subagents: VS Code Copilot supports true parallel subagent dispatch through the agent tool. Phrasing an instruction as "Run these N subagents in parallel: ..." — listing each subagent and its focus — causes them to run concurrently, not queued. This is the mechanism used throughout Phase 4 and Phase 5 below.


To update loop-engineer: re-run install.sh --update --copilot / install.ps1 -Update -Copilot. 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 via the terminal tool — creates all state files, copies agent files, and writes verifier in one command:

Bash (macOS/Linux):

bash ~/.config/loop-engineer/copilot/scripts/init-loop.sh \
  --loop-id <LOOP_ID> \
  --goal "<GOAL>" \
  --stop "all tasks in loop-stack/<LOOP_ID>/PLAN.md checked" \
  --git <yes/no> \
  --mode <MODE> \
  --platform copilot

PowerShell (Windows):

& "$env:USERPROFILE\.config\loop-engineer\copilot\scripts\init-loop.ps1" `
  -LoopId "<LOOP_ID>" `
  -Goal "<GOAL>" `
  -Stop "all tasks in loop-stack/<LOOP_ID>/PLAN.md checked" `
  -Git <yes/no> `
  -Mode <MODE> `
  -Platform copilot

If the script is missing, install the skill first:

git clone https://github.com/vibhasdutta/loop-engineer
cd loop-engineer
bash install.sh --copilot

The script creates loop-stack/<LOOP_ID>/, copies loop-engineer-*.agent.md files into .github/agents/, and writes loop-engineer-verifier.agent.md with the actual stop condition substituted.


Phase 4 — Startup Sequence

FULLY AUTONOMOUS from this point. Never pause or ask the user anything.

Step 1 — RESEARCHERS (dynamic count, true parallel)

Determine count by goal complexity:

  • Simple/single-domain → 2 researchers
  • Medium/multi-domain → 3 researchers
  • Large/multi-system → 4 researchers

Distribute domains across researchers:

  • Context & Prior Work: source structure, patterns, package files, existing work, tests
  • External Knowledge & Resources: README, docs, external APIs, .env.example, configs, integrations
  • Requirements & Constraints: data models, state management, quality bar (for 3+ researchers)
  • Environment & Integration: CI/CD, infrastructure, build, deployment targets (for 4 researchers)

Dispatch all researchers in one instruction, phrased for parallel execution:

Run these N subagents in parallel using the loop-engineer-researcher agent:
1. Focus: {DOMAIN_1} — Loop directory: loop-stack/<LOOP_ID>/. 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 1}". Update STATUS.md "Last Researcher Result".
2. Focus: {DOMAIN_2} — [same instructions, different domain]
... (one entry per researcher)

Stuck-agent check (no watcher role needed): if one researcher takes much longer than the others, check loop-stack/<LOOP_ID>/STATUS.md ## Active Heartbeats for its last line yourself. If stale, treat it STUCK, note it, and proceed with the findings you have.

Step 2 — RESOURCE SCOUT

Run the loop-engineer-resource-scout subagent:

Loop directory: loop-stack/<LOOP_ID>/
Check loop-stack/.global/TOOLS.md — if < 7 days old, reuse. Otherwise discover all tools, MCPs, scripts.
Write to loop-stack/<LOOP_ID>/TOOLS.md AND loop-stack/.global/TOOLS.md.

Step 3 — PLANNER

Run the loop-engineer-planner subagent:

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 = can 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. It's invoked later, per-task, in Phase 5 if a task clearly needs a specialist.)

Auto-continue into Phase 5.


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.

Iteration steps:

  1. Budget checkturns_used >= MAX_TURNS → Phase 6.

  2. Read state — identify current group (all unchecked [GN] tasks with lowest N).

  3. RESEARCHERS (parallel) — one per task in the group (2 if group = 1 task). Dispatch as one instruction:

    Run these subagents in parallel using the loop-engineer-researcher agent:
    1. 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. Current task: {task_1}. Research what the executor needs for THIS SPECIFIC TASK. If you discover new MCPs, APIs, or tools, append to TOOLS.md "## Newly Discovered Resources". Append findings to RESEARCH.md under "## Task-Specific Research — {task_1}".
    2. [same, for task_2] ...
    

    Increment turns_used.

  4. Before executors, check AGENTS.md. For every task in the group that clearly needs domain expertise beyond a generic executor and has no specialist yet, run the loop-engineer-agent-factory subagent for all of them in parallel (create 1 agent file per task in loop-stack/<LOOP_ID>/agents/, update AGENTS.md). Skip this for most tasks — most groups never need it.

  5. EXECUTORS (parallel) — one per task in the group, dispatched as one instruction:

    Run these subagents in parallel using the loop-engineer-executor agent:
    1. 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 BEFORE ACTING: RESEARCH.md "## Task-Specific Research — {task_1}". Read AGENTS.md — if a specialist exists for this task type, read it from loop-stack/<LOOP_ID>/agents/{name}.md. Current task: {task_1}. Implement. Append discoveries to MEMORY.md. Update STATUS.md. Goal output goes to the project directory, NOT inside loop-stack/.
    2. [same, for task_2] ...
    

    Increment turns_used.

  6. AUDITORS (parallel) — one per task just built.

  7. Process audit results:

    • CLEAN/WARN → proceed to verifier
    • BLOCK → auto-fix: one executor retry + re-audit once. Still BLOCK → auto-skip.
  8. VERIFIERS (parallel) — one per task that passed audit. Verifier is the final gate, doing both jobs in one pass (researcher-criteria check + stop condition):

    Run these subagents in parallel using the loop-engineer-verifier agent:
    1. Loop directory: loop-stack/<LOOP_ID>/. Current task: {task_1}.
    2. [same, for task_2] ...
    
  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 final — single run, local + global write.

  11. Advance — mark [x] in PLAN.md, git commit if enabled. Find next unchecked group. None left → ALL DONE → rename loop-stack/<LOOP_ID>/loop-stack/<LOOP_ID>_DONE/ → Phase 6.


Phase 6 — Completion Report

Write REPORT.md inside the renamed loop directory and print summary.


Rules

  • True parallel dispatch, confirmed: phrase a batch as "Run these N subagents in parallel using the loop-engineer-{role} agent: 1. ... 2. ..." — this is genuinely concurrent, not queued (code.visualstudio.com/docs/agents/subagents).
  • Agent files: .github/agents/loop-engineer-*.agent.md, prefixed to avoid colliding with any unrelated custom agents in the same shared directory.
  • Nesting: subagents cannot spawn further subagents by default (prevents runaway recursion). Not a concern here — none of loop-engineer's agents need to delegate further.
  • Global data first: every agent role reads loop-stack/.global/MEMORY.md + loop-stack/.global/TOOLS.md before acting.
  • Researcher before executor: always. 2 researchers minimum; more for complex goals.
  • 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 a subagent is slow; never spawn a dedicated watcher role.
  • No separate evaluator. Verifier is the final gate — checks RESEARCH.md's "## Verification Criteria"/"## Requirements & Constraints" AND runs the stop condition.
  • 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: single final consolidation (local+global) after verify. Executors already append learnings to MEMORY.md inline, so no mid-batch checkpoint call is needed. 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. 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).
  • 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).
  • copilot-instructions.md: copy platforms/copilot/copilot-instructions.md to .github/copilot-instructions.md in your project if not present — it tells Copilot how to activate the skill.

What ships with it: 43 files

36.7 KB alongside SKILL.md

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