cold-start

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Bootstrap a Memory Bank for a new or existing repository, then route into PRD-driven or brownfield workflows.

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NPX Install

npx skill4agent add mrvladd-d/memobank cold-start

Cold Start: Memory Bank + Agents bootstrap (greenfield & brownfield)

Summary

Note:
cold-start
is the package skill for all-in-one bootstrap. Do not confuse it with the generated project command
/cold-start
: that command is a lightweight router used after skeleton creation inside a target repo. For modular usage, prefer individual skills:
mb-init
(skeleton),
mb-from-prd
(greenfield),
mb-map-codebase
(brownfield),
mb-review
(review),
mb-execute
(implementation),
mb-verify
(UAT).
  • What it does: creates the Memory Bank skeleton, writes agent entry points, and routes the repo into the right workflow.
  • Use it when: you want one entry point for either a new project with a PRD or an existing codebase that needs mapping first.
  • Input: repository root plus either
    prd.md
    / requirements text or an existing codebase.
  • Output:
    .memory-bank/
    ,
    .tasks/
    ,
    .protocols/
    , agent entry files, and the next step for greenfield or brownfield work.
Supported scenarios:
  • Greenfield: repo has
    prd.md
    or requirements text, but no code yet.
  • Brownfield: repo already contains code and needs as-is documentation before change planning.

Non-negotiable principles

1) Orchestrator vs workers

  • You (main agent) are the orchestrator. You plan and coordinate.
  • Workers (subagents) do the heavy lifting (scanning many files, producing long reports).
  • Max depth = 2: orchestrator → subagent. No sub-sub-agents.

2)
.tasks/
is runtime memory (НЕ Memory Bank)

  • Every agent process gets a unique task folder:
    .tasks/TASK-XXX/
    .
  • Subagents write detailed outputs there, and return only short summaries to the orchestrator.

3) Avoid conflicts by design

  • Split work by non-overlapping file sets.
  • If overlap is unavoidable, use git branches/worktrees per agent and merge later.

4) Parallelism limits

  • Run up to 5–7 subagents in parallel.
  • If your runtime supports multi-tool calls: spawn parallel subagents in a single orchestrator turn.

5) Docs First

After completing any meaningful unit of work:
  1. Update Memory Bank while context is fresh.
  2. Then change code / commit.

Output you MUST create/maintain

Repo root

  • AGENTS.md
    (canonical, short, ~100 lines)
  • CLAUDE.md
    → symlink (or copy) to
    AGENTS.md
  • (optional)
    GEMINI.md
    → symlink (or copy) to
    AGENTS.md

Repo folders

  • .memory-bank/
    — durable knowledge base
  • .tasks/
    — operational runtime memory
  • .protocols/
    — file-based protocols (plans / decision logs / resume)

Step 0 — Detect environment (don’t guess)

  1. Check what tools you have:
    • Codex available? (Codex CLI / MCP tool)
    • Claude Code available? (CLI
      claude
      , subagents)
    • Browser tools? (Playwright / agent-browser / CDP MCP)
  2. Decide primary engine:
    • If working inside Codex: use
      gpt-5.2-high
      for implementation and review (prefer fresh sessions for critical reviews).
    • If working inside Claude Code: use subagents for analysis + use Opus for synthesis; optionally call Codex via shell for second opinion or structured review.
    • If both Codex and Claude are available (dual-engine): use Claude for wide-context scanning and synthesis, Codex for structured review and implementation. Cross-validate critical outputs (MB compliance, architecture) by running the review step on the other engine. See Step 4 for the hybrid workflow.
If you don’t control Codex model selection via UI, create a project
.codex/config.toml
profile set (see Step 1.5).

Step 1 — Bootstrap the skeleton

1.1 Create directories

Create (if missing):
  • .memory-bank/
    • mbb/
    • architecture/
    • guides/
    • adrs/
    • tech-specs/
    • domains/
      (optional but recommended)
    • contracts/
      (optional but recommended)
    • runbooks/
      (optional but recommended)
    • workflows/
      (optional; can keep
      wfs/
      if you already use it)
    • quality/
      (optional but recommended)
    • testing/
    • skills/
    • epics/
    • features/
    • tasks/
      (Memory Bank backlog & plans)
    • commands/
      (slash-command specs used by humans/agents)
    • agents/
      (subagent prompt library)
    • archive/
    • bugs/
  • .tasks/
  • .protocols/

1.2 Create core files (use the templates)

Use the templates in:
  • ./references/shared-structure-template.md
At minimum you must create:
  • AGENTS.md
  • CLAUDE.md
    symlink/copy
  • .memory-bank/index.md
  • .memory-bank/mbb/index.md
  • .memory-bank/product.md
  • .memory-bank/requirements.md
  • .memory-bank/testing/index.md
  • .memory-bank/tasks/backlog.md
Also create the command specs under
.memory-bank/commands/
(use
references/commands/*
).

1.2.1 Create native skills (proxy commands)

Create thin proxy skills so commands work natively in each runtime:
  • .claude/skills/<name>/SKILL.md
    → Claude Code + OpenCode
  • .agents/skills/<name>/SKILL.md
    → Codex CLI + OpenCode
Each proxy just says:
Read and follow the instructions in .memory-bank/commands/<name>.md
. This makes commands available natively (
/mb
,
/prd
,
/execute
, etc.) in all three tools.
The
init-mb.js
script creates both sets automatically.

1.3 Enforce frontmatter rule

Every markdown file inside
.memory-bank/
must include YAML frontmatter with at least:
  • description: ...
  • status: draft|active|deprecated|archived

1.4 Create
.tasks/
protocol

Create a task folder for this run (pick a new id):
  • .tasks/TASK-MB-INIT/
Inside it, create:
  • TASK-MB-INIT-S-00-orchestrator-plan.md
    — what you will do + which subagents

1.5 Optional: Codex profile presets

If Codex is used, create
.codex/config.toml
with profiles:
  • default: coding (gpt-5.2, high)
  • profile
    deep-review
    : review (gpt-5.2, xhigh)
(If your repo is shared, consider keeping it local or documenting it in
.memory-bank/runbooks/
.)

Step 2 — Choose scenario

Decision rule

  • If repo has substantial code (
    src/
    ,
    package.json
    ,
    go.mod
    ,
    Cargo.toml
    , etc.) → Brownfield (Step 3B).
  • If repo is mostly empty and you have
    prd.md
    Greenfield (Step 3A).
  • If both exist: treat as Brownfield + PRD delta (Step 3B).
  • If repo is empty/new and no
    prd.md
    Skeleton-only (Step 3C).
Record the scenario in:
  • .tasks/TASK-MB-INIT/TASK-MB-INIT-S-00-orchestrator-plan.md

Step 3A — Greenfield workflow (PRD → Memory Bank)

3A.1 Read PRD and do Deep Questioning

  • Read
    prd.md
    .
  • If gaps exist, run deep questioning in rounds (3–5 questions each). Use
    ./references/shared-deep-questioning.md
    .
  • If PRD mentions “use skills/tools/CLIs” — run
    /find-skills
    first (project-installed → marketplace).
If user is temporarily unavailable (“запуск и ушёл”):
  • Record
    Open questions
    in
    .protocols/PRD-BOOTSTRAP/decision-log.md
    .
  • Stop and wait (do not invent facts; do not proceed to EP/FT/backlog generation without answers).
If the user explicitly wants autonomous mode:
  • record non-blocking gaps as
    Assumptions
  • halt only on blocking gaps (security/compliance/external contract/data-loss risks)
  • after L1–L3 + review gate, continue with
    /autonomous

3A.2 Write product brief (L1)

Update
.memory-bank/product.md
using user’s wording.

3A.3 Requirements + RTM

Update
.memory-bank/requirements.md
:
  • REQ-IDs
  • RTM table mapping REQ → Epic → Feature → Test

3A.4 Create epics and features

Create:
  • .memory-bank/epics/EP-001-<slug>.md
  • .memory-bank/features/FT-001-<slug>.md
Each feature MUST include:
  • use cases
  • acceptance criteria
  • failure modes / edge cases
  • test strategy pointers
Status policy:
  • Default EP/FT frontmatter to
    status: draft
    until
    Open questions
    are resolved.
  • Promote to
    status: active
    only when acceptance criteria + verification plan are stable.

3A.5 Tasks planning (per-feature, no “everything at once”)

Do not generate a full task backlog for all features in one pass.
Instead:
  1. Create/refresh
    .memory-bank/tasks/backlog.md
    as a skeleton (waves + placeholders).
  2. For each selected feature, run
    /prd-to-tasks FT-<NNN>
    to produce:
    • .memory-bank/tasks/plans/IMPL-FT-<NNN>.md
    • atomic
      TASK-*
      items grouped by waves in
      backlog.md

3A.6 Identify key concepts and create duo docs

For every non-trivial concept, create a duo:
  • .memory-bank/architecture/<concept>.md
    (WHAT/WHY)
  • .memory-bank/guides/<concept>.md
    (HOW)

3A.7 Update index

Update
.memory-bank/index.md
with annotated links to all created docs.

Step 3B — Brownfield workflow (Repo → Memory Bank)

3B.1 Spawn repo-scanning subagents (parallel)

Create a new task folder:
  • .tasks/TASK-MB-MAP/
Spawn up to 5 subagents in parallel with non-overlapping scopes:
  1. S-01
    : build/tooling (package managers, scripts, CI)
  2. S-02
    : backend/services
  3. S-03
    : frontend/UI
  4. S-04
    : data layer (DB, migrations, schema)
  5. S-05
    : tests + quality gates
Each subagent MUST:
  • verify its file glob targets exist ("smart calling")
  • write a detailed report into
    .tasks/TASK-MB-MAP/
    using naming:
    TASK-MB-MAP-S-0X-final-report-<code|docs>-YY.md
  • return a 5–10 line summary + file list
Use
./agents/shared-repo-scanner.md
as baseline prompt, but scope it.

3B.2 Synthesize Memory Bank from reports

Using the
.tasks/TASK-MB-MAP/
reports, fill:
  • .memory-bank/product.md
    — what the system is today
  • .memory-bank/architecture/
    — C4 L1–L3 overview + key invariants
  • .memory-bank/runbooks/
    — setup, dev, test, deploy
  • .memory-bank/contracts/
    — API/event contracts
  • .memory-bank/testing/index.md
    — canonical gates + verification notes
  • .memory-bank/index.md
    — annotated links
PRD-less rule (non-negotiable): if there is no
prd.md
, you MUST NOT create or populate:
  • .memory-bank/epics/*
  • .memory-bank/features/*
  • .memory-bank/tasks/backlog.md
    with waves/tasks
Empty skeleton files/folders are allowed if they were created by bootstrap.
Repo mapping is as-is documentation, not roadmap planning. If something cannot be derived from code/logs/tests, record it as a hypothesis or an open question.

3B.3 Ask user for PRD delta

After baseline MB exists:
  • ask the user for
    prd.md
    describing what to change/add
  • run
    /prd
    and
    /prd-to-tasks
    style decomposition against the existing baseline

Step 3C — Skeleton-only workflow (no PRD, no code)

When the repo is new/empty and no
prd.md
is available:

3C.1 Create skeleton only

Run Step 1 as usual — create all directories, core files from templates,
AGENTS.md
,
CLAUDE.md
symlink.
The skeleton provides a ready-to-fill structure:
product.md
,
requirements.md
,
backlog.md
, etc. remain as draft stubs.

3C.2 Ask for PRD

After skeleton is created, ask the user to provide a PRD:
"Memory Bank skeleton created. To fill it with product details, epics, features, and a backlog, please provide a
prd.md
file (or paste requirements text). You can do this now or later — run
/prd
when ready."

3C.3 Wait or proceed

  • If user provides PRD now → continue to Step 3A (Greenfield workflow).
  • If user defers → stop here. The skeleton is valid and usable. The user can invoke
    $mb-from-prd
    or
    /prd
    later to fill the Memory Bank.
  • If user provides partial info → run deep questioning (
    ./references/shared-deep-questioning.md
    ) to extract enough for product.md, then stop and wait for full PRD.
Note: The skeleton-only state is a valid stopping point.
AGENTS.md
+
.memory-bank/index.md
+ MBB rules are enough for agents to start navigating the repo.

Step 4 — Hybrid mode (Claude ↔ Codex)

If you’re in Claude Code but want Codex quality or long-horizon autonomy:
  1. Use Claude subagents to produce the scan reports into
    .tasks/TASK-MB-MAP/
    .
  2. Call Codex via shell to synthesize Memory Bank:
bash
codex exec --ephemeral --full-auto -m gpt-5.2-high \
  'Read .tasks/TASK-MB-MAP and build/refresh .memory-bank per MBB. Keep AGENTS.md short. Produce a summary and run a self-review.'
  1. Then run a Codex deep review profile (or a fresh Claude session) for 5-expert review.

Step 5 — Multi-expert review loop (fresh context)

Run fresh-context reviewers (do not reuse the writer context):
  • Architect (C4 + dependencies)
  • Scope analyst (REQ → Epic → Feature → Task coverage)
  • MBB compliance reviewer (frontmatter, links, atomics, duo)
  • Plan reviewer (backlog quality, waves, gates)
  • Security reviewer (auth, sensitive data, OWASP risks)
  • Code quality reviewer (conditional: if code exists — quality gates, conventions, hotspots)
Use prompts in
./agents/shared-review-*.md
and
./agents/shared-mb-reviewer.md
.
Rules:
  • If any reviewer returns REJECT → fix MB and repeat review.
  • Persist reviewer reports into
    .tasks/TASK-MB-REVIEW/
    .

Step 6 — Start executing tasks

After review gate passes (APPROVE):
  1. Pick the highest-priority task from
    .memory-bank/tasks/backlog.md
    .
  2. Run
    mb-execute
    for the task (plan → implement → quality gates → MB-SYNC).
  3. Run
    mb-verify
    to check acceptance criteria and record evidence.
  4. Repeat until the wave is complete or user stops.
If the intended mode is unattended end-to-end:
  • do not stay in manual loop here
  • switch to generated project command
    /autonomous
If
mb-execute
or
mb-verify
are not installed, follow their SKILL.md manually.

Definition of done

You are done when:
  • AGENTS.md
    exists, short, points to
    .memory-bank/index.md
    .
  • CLAUDE.md
    is a symlink/copy of
    AGENTS.md
    .
  • .memory-bank/
    contains at minimum: index + MBB + product + testing (requirements/backlog can remain as stubs until PRD exists).
  • .tasks/
    contains scan/review artifacts with naming + stage ids.
  • Greenfield: epics/features/backlog created from PRD.
  • Brownfield: repo mapped as-is into MB and user asked for PRD delta (no roadmap entities invented without PRD).
  • Skeleton-only: skeleton created, user asked for PRD (valid stopping point).
  • Multi-expert review passes (APPROVE) — for Greenfield/Brownfield; skip for Skeleton-only.
  • Execution loop is available (mb-execute + mb-verify reachable or documented).
  • Autonomous loop is available (
    /autonomous
    +
    /autopilot
    documented).

References in this skill

  • ./references/shared-structure-template.md
  • ./references/shared-deep-questioning.md
  • ./agents/shared-repo-scanner.md
  • ./agents/shared-mb-reviewer.md
  • ./agents/shared-review-architect.md
  • ./agents/shared-review-scope.md
  • ./agents/shared-review-code.md
  • ./agents/shared-review-plan.md
  • ./agents/shared-review-security.md
  • ./scripts/shared-init-mb.js
    (optional helper)