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SKILL verified MIT Self-run

Planning

skill-vindm-dotclaude-planning · by vindm

Set up pre-implementation discipline + audit routing for a project with regular multi-module changes. Authors a pre-flight agent that maps integration points, parallel paths, and cross-boundary surfaces — plus an audit-routing rule that orders which agent fires for which question. Invoke /dotclaude:planning in any project where "we shipped feature X and broke unrelated thing Y" has happened more…

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$ agentstack add skill-vindm-dotclaude-planning

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

/dotclaude:planning — pre-implementation discipline kit

You are setting up the pre-impl half of the validation loop. The output is a .claude/ subset focused on what happens BEFORE code is written: territory mapping, integration-point analysis, parallel-path detection, cross-boundary verification, and the routing rule that decides which audit agent fires for which question once the user's .claude/ accumulates more than 2-3 of them.

/dotclaude:coding ships the post-impl reviewer; this skill ships its pre-impl companion + the routing layer that organizes them.

Phase 1 — Read the project's coupling shape

Before any question:

  1. Module / package layout — top-level structure:

``bash ls -la ls packages/ workspaces/ apps/ services/ lib/ src/ 2>/dev/null ` Count the modules. Note whether this is a monorepo (multiple package.json / Cargo.toml / pyproject.toml`), a workspace, or a flat single-package project.

  1. Cross-module change frequency — read the git log for multi-module PRs:

``bash git log --merges --oneline -30 git log --oneline --stat -50 | head -200 `` Look for commits / merges that touch files in 3+ different top-level directories. These are the kinds of changes pre-flight earns its keep on.

  1. Revert / rollback history — design mistakes that shipped:

``bash git log --oneline --grep="revert" -30 git log --oneline --grep="rollback" -30 `` Each revert is a pre-flight gap that wasn't caught. Read the diffs of the 3-5 most expensive-looking ones.

  1. Cross-boundary surfaces — identify which layer-crossings exist in this project:

``bash # Native bridges (React Native / Expo, mobile) find . -name "*.swift" -path "*modules*" 2>/dev/null | head find . -path "*ios/*" -name "*.swift" 2>/dev/null | head find . -path "*android/*" -name "*.kt" 2>/dev/null | head # IPC / Electron / Tauri find . -name "preload.*" -o -name "main.*" -path "*electron*" 2>/dev/null | head # FFI / wasm grep -rn "wasm_bindgen\|extern \"C\"\|napi_" --include="*.rs" --include="*.toml" . 2>/dev/null | head # Web service boundaries find . -path "*api/*" -name "*.ts" -o -path "*routes/*" -name "*.ts" 2>/dev/null | head `` Each detected boundary is a Phase 3B trigger in the pre-flight agent (cross-boundary verification).

  1. Existing planning docsCLAUDE.md, AGENTS.md, docs/architecture.md, sub-module READMEs. If the project documents its module map already, the pre-flight agent leverages that doc instead of rediscovering it.
  1. Existing agent inventory — what's already in .claude/agents/ or .claude-staging/agents/ from previous domain skills:

``bash ls .claude/agents/ .claude-staging/agents/ 2>/dev/null ` This determines whether the audit-routing.md` rule earns its keep (3+ audit agents threshold).

Build mental model of: how coupled is this codebase, what cross-boundary surfaces exist, what kinds of changes have produced reverts, what other audit agents will the routing rule need to organize.

Phase 2 — Interview

Open interview.md (same directory). 3-4 questions. Adaptive — skip what Phase 1 already answered.

  • Change shape — typical PR / commit shape (Phase 1 has data; confirm).
  • Cross-module coupling — what kinds of changes regularly touch multiple parts of the system?
  • Pre-impl review posture — does the user actually pause to validate before coding?
  • Audit pipeline — if multiple audit agents are already authored (or will be), is there a sequence the user wants?

Phase 3 — Read the principles

Read these from ../../principles/ SELECTIVELY:

Always read (pre-flight discipline):

  • pre-flight.md — the full 5-phase methodology (territory / integration / parallel-path / cross-boundary / risk / recommendation)
  • quality-rubric.md — the Clear-for-Takeoff / Caution / Abort scale derives from the rubric anchor pattern

Read if .claude/ will have 3+ audit-shaped agents (count the union of agents from /dotclaude:coding, /dotclaude:design, /dotclaude:testing, /dotclaude:data, /dotclaude:ai-workflow):

  • audit-routing.md — the routing-table + pipeline-order methodology

Cross-reference (link from the pre-flight agent, do not re-author):

  • code-review.md — pre-flight and code-review share the parallel-path methodology
  • data-integrity.md — pre-flight flags data concerns; data-auditor does the deeper sweep
  • migration-create.md — pre-flight flags migrations in scope; the migration skill executes

Read the war-story examples (the pre-flight agent's "Do NOT" section should reference them):

  • ../examples/the-write-that-returned-success.md — trust boundary; pre-flight asks the question
  • ../examples/the-test-passed-for-the-wrong-reason.md — entry-point listing; pre-flight would have caught it
  • ../examples/the-bug-surfaced-five-screens-later.md — cascade-through-valid; pre-flight asks about origin validation

Phase 4 — Author the kit

Agents (in .claude-staging/agents/)

  • pre-flight.md — the pre-implementation validation agent
  • Frontmatter: description: — derived from pre-flight.md principle, tuned to THE user's stack and cross-boundary surfaces
  • Tool surface: Read, Grep, Glob, Bash (NO Edit, NO Write — pre-flight is analysis, not implementation; the read-only constraint is part of the value)
  • Body sections:
  • The five phases (territory map / integration analysis / parallel-path inventory / cross-boundary verification when applicable / risk assessment / recommendation)
  • Project-specific integration-point map — name the actual modules / tables / queue systems / cache slices / boundary surfaces this project has. Concrete names, not placeholders ("TABLES_HERE"). Derived from Phase 1.
  • Phase 3B cross-boundary surfaces enumerated — list each boundary actually present (e.g., "JS ↔ Swift native modules at modules/", "Main ↔ renderer IPC at electron/preload.ts", "API ↔ DB via lib/db/"). Skip surfaces the project doesn't have.
  • Risk-categories tuned to the project's actual stakes (financial → data corruption + cross-tenant top; consumer app → silent failure + UX cascade top)
  • The Clear for Takeoff / Caution / Abort verdict scale
  • "Do NOT" entries derived from the revert history Phase 1 surfaced + the war-story examples
  • Report-format template
  • code-reviewer.md — IF /dotclaude:coding did NOT run yet
  • The lightweight version: enough to be useful, but the user is encouraged to invoke /dotclaude:coding for the full kit
  • If /dotclaude:coding already ran, do NOT duplicate — cross-reference its agent in this kit's overview message

Rules (in .claude-staging/rules/)

  • audit-routing.md (only if .claude/ will have 3+ audit-shaped agents — count the union across all domain skills the user runs or has run)
  • The routing table — scoped to ACTUAL agents in the user's .claude/agents/. Don't list flow-auditor if there's no flow-auditor in the inventory.
  • The refuse-and-recommend behaviors — for each agent that refuses certain question shapes (e.g., single-screen reviewers refuse multi-screen requests)
  • The canonical pipeline order — for the project's typical multi-audit batches (UI batch, schema-change batch, etc.)
  • Cross-rubric translation table — only if the agents grade on different scales
  • Hooks-prevent-findings sub-table — name the edit-time hooks already wired (file-size, forbidden-phrases, secret-leak, etc.) so the user knows which findings are pre-empted

Hooks

Pre-flight discipline doesn't have a dedicated hook (the agent IS the discipline). The audit-routing rule references hooks from other domain skills — do not re-author them here.

Phase 5 — Stage + present + commit

Staging

Write everything to .claude-staging/ first, organized by artifact type.

Present

Walk the user through:

  1. The kit overview — what landed (typically 1 agent + 1 rule)
  2. Top 2-3 highlight artifacts — concrete reasoning. NOT "I added pre-flight" but: "The pre-flight agent knows about your three top-level boundaries — ` ↔ JS, ↔ Postgres, and ↔ queue. Its Phase 3B will trigger automatically on any change touching one of those. I derived 4 'Do NOT' entries from your revert history — for example, ` shows the pattern of , so pre-flight will now explicitly warn against ."
  3. Audit-routing rule (if shipped) — show the routing table populated with the user's actual agents, and the pipeline order for their typical multi-audit batches. Be explicit about which agents are NOT yet authored (they show as gaps to fill via other domain skills).
  4. What got SKIPPED — and why. If audit-routing.md wasn't shipped, say so: "Only 2 audit agents exist; routing rule would be overhead. Re-run this if the inventory grows."
  5. Model + token-cost note — pre-flight uses the highest-tier reasoning model and is the most expensive non-code-review agent. Each pre-flight invocation costs the same order of magnitude as a code review. Be honest.

Approve → commit

After explicit user approval, move .claude-staging/.claude/ and commit with structured message:

feat(.claude): planning discipline (dotclaude:planning)

Authored:
- agents:  pre-flight[, code-reviewer]
- rules:   [audit-routing]

Cross-boundary surfaces mapped: 
Revert-derived "Do NOT" entries: 
Audit pipeline: 

Non-negotiable rules for this flow

  1. Concrete integration-point map, not placeholders. The pre-flight agent's body should list ACTUAL table names, ACTUAL queue names, ACTUAL native module names, ACTUAL IPC channel names. If you can't fill in the names, you haven't done Phase 1 thoroughly enough — go back. A pre-flight agent that says "check the data layer" is useless; one that says "check equipment.identity_confidence, jobs (status enum), cache_keys.member_*" earns its keep.
  1. Phase 3B is conditional. If the project has no cross-runtime boundaries (pure backend service, pure frontend SPA with no native code), don't include Phase 3B in the agent's body. A phantom cross-boundary phase wastes opus tokens on a non-existent concern. Read Phase 1 first; only include surfaces the project actually has.
  1. Derive "Do NOT" entries from real history. The "Do NOT" section is often more valuable than the "do" section. Each entry should reference a real revert / rollback in the project's git log (with short SHA) — NOT generic warnings copied from the principle doc. If the project has no revert history yet, the "Do NOT" section pulls from the war-story examples instead, with a note that it'll be extended as the project's own history accrues.
  1. Read-only tool surface is structural. The pre-flight agent must NOT have Edit or Write tools. The whole value is that the user can run pre-flight and trust the codebase is unchanged. If you give it write access "for convenience," users will stop trusting the read-only contract and the agent's role collapses into "another implementer."
  1. The routing rule needs a real inventory. Don't ship audit-routing.md with rows for agents that don't exist. If the user's .claude/ has 2 agents, ship no routing rule (cognitive overhead exceeds value at that size). If it has 3+, list ONLY the ones present. Re-run the rule's generation when new audit agents are added.
  1. Pipeline order is binding. When multiple audits apply to one batch, the order in the routing rule must be deterministic (cheapest mechanical sweeps first, semantic/a11y in parallel, visual polish last for UI work). Reversing the order produces wasted agent runs. Encode the order; don't leave it to taste.
  1. Cross-reference, don't duplicate. If /dotclaude:coding already shipped a code-reviewer.md, do NOT re-author it here — link to it. If /dotclaude:data will ship data-auditor.md, the pre-flight agent's risk-assessment phase can REFERENCE that agent but should not encode its query logic. Boundary discipline between domain skills prevents drift.
  1. Be honest about cost. Pre-flight is one of the two most-expensive agents (the other being code-review). The kit overview should say so. Pre-flight earns its keep on changes that justify it (cross-module refactors, new pipelines, schema-touching features) — it's overhead on a one-file typo fix. The user should understand the tradeoff.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.