Plan

When this skill is invoked, IMMEDIATELY print:

[BW] analyzing scope...

The user's request follows after the skill invocation. Analyze it thoroughly before doing anything.

Phase 1: Scope Analysis

Gather concrete data about what the task requires. Do ALL of the following:

1. Identify affected files — based on the user's request, determine which files will need to be created, modified, or deleted. Use git ls-files, find, and your knowledge of the codebase to list them. Count them.

2. Identify domains — classify each file into a domain:

   • backend (APIs, DB, auth, server logic)
   • frontend (UI, components, CSS, client logic)
   • infra (CI/CD, Docker, cloud config, deployment)
   • data (pipelines, ETL, migrations, schemas)
   • ai/ml (models, embeddings, inference)
   • cli (CLI tools, scripts, shell)
   • testing (test files, fixtures, mocks)
   • docs (documentation, README, comments)
   • config (bundler, TypeScript, linting, package.json)
   • security (auth, encryption, OWASP)

3. Estimate complexity — score 1-5 based on:

   • Concurrency or state management involved? +1
   • External API integrations? +1
   • Security-sensitive (auth, payments, PII)? +1
   • Cross-platform concerns? +1
   • Database migrations or schema changes? +1

Phase 2: Team Recommendation

Based on the analysis, recommend ONE team mode:

SOLO (1 specialist) — small scope

Conditions: 1-2 files, single domain, complexity 1-2.

Pick the best-fit specialist from:

• tech-backend, tech-frontend, tech-fullstack, tech-infra, tech-database, tech-api, tech-mobile, tech-testing, tech-security, tech-performance, tech-devops, tech-data, tech-ml, tech-cli, tech-realtime, tech-auth, tech-migration, tech-config, tech-writer, tech-graphql, tech-monorepo, tech-accessibility, tech-i18n, tech-agent-engineer, tech-plugin

Print:

[BW] plan: SOLO
     scope: {N} files, {domain}
     complexity: {score}/5
     agent: {specialist}
     
     tasks:
       1. {what will be done}
       2. {what will be done}

     confirm? (y/n)

PAIR (2 specialists) — medium scope

Conditions: 3-5 files, 2 domains, complexity 2-3.

Pick 2 complementary specialists. Common combos:

• tech-backend + tech-frontend (fullstack feature)
• tech-backend + tech-infra (backend + deployment)
• tech-backend + tech-database (API + schema)
• tech-api + tech-frontend (API contract + UI)
• tech-cli + tech-config (tooling)

Print:

[BW] plan: PAIR
     scope: {N} files across {domains}
     complexity: {score}/5
     agents: {specialist1} + {specialist2}
     
     tasks:
       1. [{agent}] {what will be done}
       2. [{agent}] {what will be done}

     confirm? (y/n)

TRIO (Tech + PM + Critic) — large scope

Conditions: 5-10 files, 3+ domains, complexity 3-4, or any task benefiting from quality gates.

Pick the best-fit trio from all 49 specialists:

• Tech: one of the 25 tech-* specialists
• PM: one of pm-product, pm-api, pm-platform, pm-data, pm-infra, pm-migration, pm-security, pm-growth, pm-compliance, pm-dx
• Critic: one of critic-perf, critic-scale, critic-security, critic-consistency, critic-reliability, critic-testing, critic-hallucination, critic-dx, critic-type, critic-cost, critic-accessibility, critic-devsecops, critic-i18n, critic-agent

Print:

[BW] plan: TRIO
     scope: {N} files across {domains}
     complexity: {score}/5
     agents:
       tech:   {tech-specialist}  — implements
       pm:     {pm-specialist}    — verifies requirements
       critic: {critic-specialist} — reviews quality
     
     execution:
       1. [{tech}] {implementation task}
       2. [{pm}] verify: {what PM checks}
       3. [{critic}] review: {what critic checks}
       (max 3 feedback rounds if rejected)

     confirm? (y/n)

SQUAD (4+ flat) — extra-large scope, multi-domain

Conditions: 10+ files, 4+ domains, complexity 4-5, feature work.

Pick a squad preset or custom composition:

• Feature Squad: tech-backend + tech-frontend + pm-product + critic-dx
• Infra Squad: tech-infra + tech-devops + pm-infra + critic-reliability
• Security Squad: tech-security + tech-auth + pm-security + critic-security
• Data Squad: tech-data + tech-database + pm-data + critic-cost
• Custom: pick 4-6 specialists that cover all identified domains

Print:

[BW] plan: SQUAD
     scope: {N} files across {domains}
     complexity: {score}/5
     squad: {preset or "custom"}
       - {specialist1} ({role})
       - {specialist2} ({role})
       - {specialist3} ({role})
       - {specialist4} ({role})
     
     execution (parallel):
       1. [{agent1}] {task}
       2. [{agent2}] {task}
       3. [{agent3}] {task}
       4. [{agent4}] {task}
     resolution: majority vote on disagreements

     confirm? (y/n)

HIERARCHY (CTO chain) — architecture-level

Conditions: 10+ files, architecture changes, complexity 5, refactoring, or security-critical.

Pick a hierarchy preset:

• Full Team: CTO -> Tech Lead -> Senior -> Junior
• Backend Team: Backend Lead -> Senior Backend -> Junior Backend
• Frontend Team: Frontend Lead -> Senior Frontend -> Junior Frontend
• Security Team: CISO -> Security Lead -> Security Engineer

Print:

[BW] plan: HIERARCHY
     scope: {N} files, architecture-level
     complexity: {score}/5
     chain: {preset}
       4. {C-level}     — final approval
       3. {Lead}        — architecture review
       2. {Senior}      — implementation review
       1. {Junior}      — implementation
     
     execution (bottom-up, review top-down):
       1. [{junior}] implement: {task}
       2. [{senior}] review + improve
       3. [{lead}] architecture check
       4. [{c-level}] final decision
     
     confirm? (y/n)

Phase 3: Confirmation

Wait for user input. Accept:

• y / yes / go / ok — proceed to execution
• n / no / cancel — abort, print [BW] plan cancelled.
• solo / pair / trio / squad / hierarchy — override the recommended mode, re-display plan with the forced mode
• swap {agent} for {agent} — replace a specialist, re-display plan
• Any other feedback — adjust the plan and re-display

Phase 3.5: Persist Plan

Before execution, ALWAYS save the plan to disk:

mkdir -p .bestwork/plans

Write the plan as JSON to .bestwork/plans/<timestamp>-<slug>.json:

{
  "created": "<ISO timestamp>",
  "task": "<user's original request>",
  "mode": "solo|pair|trio|squad|hierarchy",
  "scope": { "files": ["..."], "domains": ["..."], "complexity": N },
  "agents": [{ "name": "tech-backend", "role": "tech", "tasks": ["..."] }],
  "status": "pending|executing|complete|cancelled"
}

Also write a human-readable summary to .bestwork/plans/<timestamp>-<slug>.md.

This enables:

• ./plan --last — re-load and resume the most recent plan
• ./plan --list — list all saved plans
• Plans can be picked up in a new session if the current one dies

When the user says ./plan --last:

1. Read the latest .json file from .bestwork/plans/
2. Print the plan summary
3. Ask: "resume this plan? (y/n)"
4. If yes, jump to Phase 4 execution

Phase 4: Execution

Once confirmed, update the saved plan's status to "executing". Then route to the appropriate team mode. Print:

[BW] executing plan...

Then execute based on the confirmed mode:

• SOLO: Load the specialist's prompt from prompts/tech/{name}.md (or the matching category). Execute the task directly using that agent's expertise and perspective.

• PAIR: Execute sequentially — first specialist handles their domain files, second specialist handles theirs. Cross-review at the end.

• TRIO: Execute as ./trio — spawn Tech agent (implement), PM agent (verify), Critic agent (review). Feedback loop up to 3 rounds. Record to meeting log at .bestwork/state/meeting.jsonl.

• SQUAD: Spawn all agents in parallel using run_in_background. Each agent works on their assigned files. Disagreements resolved by majority vote. Record to meeting log.

• HIERARCHY: Execute bottom-up (Junior implements first), review top-down (C-level approves last). Each level can send work back down with feedback. Record to meeting log.

For trio/squad/hierarchy, write the meeting log:

mkdir -p ~/.bestwork/state && echo '{"type":"header","teamName":"plan","mode":"<MODE>","task":"<TASK>","classification":"PLAN","developerCount":<N>,"routingReason":"plan skill recommendation"}' > .bestwork/state/meeting.jsonl

After execution completes, update the saved plan's status to "complete" and print:

[BW] plan complete. mode={MODE}, agents={N}, files={N}.
     saved: .bestwork/plans/<filename>.md