Copilot
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).From its SKILL.md
npx -y skills add vibhasdutta/loop-engineer --skill copilotAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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:
-
Budget check —
turns_used >= MAX_TURNS→ Phase 6. -
Read state — identify current group (all unchecked [GN] tasks with lowest N).
-
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. -
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-factorysubagent for all of them in parallel (create 1 agent file per task inloop-stack/<LOOP_ID>/agents/, update AGENTS.md). Skip this for most tasks — most groups never need it. -
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. -
AUDITORS (parallel) — one per task just built.
-
Process audit results:
- CLEAN/WARN → proceed to verifier
- BLOCK → auto-fix: one executor retry + re-audit once. Still BLOCK → auto-skip.
-
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] ... -
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
-
MEMORY-KEEPER final — single run, local + global write.
-
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.mdbefore 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.mdto.github/copilot-instructions.mdin 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
agents/
- knowledge-sources/01-search-engines.md237 B
- knowledge-sources/02-open-source-code.md255 B
- knowledge-sources/03-official-documentation.md460 B
- knowledge-sources/04-package-managers.md258 B
- knowledge-sources/05-research-papers.md336 B
- knowledge-sources/06-ai-machine-learning.md322 B
- knowledge-sources/07-apis.md144 B
- knowledge-sources/08-community-discussions.md271 B
- knowledge-sources/09-tutorials-learning.md245 B
- knowledge-sources/10-cybersecurity.md210 B
- knowledge-sources/11-system-design.md181 B
- knowledge-sources/12-business-startups.md220 B
- knowledge-sources/13-marketing.md152 B
- knowledge-sources/14-sales-lead-generation.md246 B
- knowledge-sources/15-jobs-careers.md145 B
- knowledge-sources/16-design.md190 B
- knowledge-sources/17-images.md124 B
- knowledge-sources/18-videos.md125 B
- knowledge-sources/19-books.md127 B
- knowledge-sources/20-news.md149 B
- knowledge-sources/21-government.md156 B
- knowledge-sources/22-finance.md153 B
- knowledge-sources/23-legal.md112 B
- knowledge-sources/24-medical.md82 B
- knowledge-sources/25-science.md99 B
- knowledge-sources/26-geography.md87 B
- knowledge-sources/27-shopping.md119 B
- knowledge-sources/28-social-media.md194 B
- knowledge-sources/29-wikis.md103 B
- knowledge-sources/30-domain-website-intelligence.md295 B
- knowledge-sources/31-datasets.md159 B
- knowledge-sources/32-file-types.md270 B
- knowledge-sources/33-browser-capabilities.md461 B
- knowledge-sources.md6.4 KB
- loop-engineer-agent-factory.agent.md2.2 KB
- loop-engineer-auditor.agent.md2.2 KB
- loop-engineer-executor.agent.md2.9 KB
- loop-engineer-memory-keeper.agent.md1.7 KB
- loop-engineer-planner.agent.md1.9 KB
- loop-engineer-researcher.agent.md6.1 KB
3 more files not listed here. See all 43 in the repository.