Skip to content
Development
Skill

/planner

SSoT custodian — keeps spec.yaml structurally clean. Adds features, archives them, and ensures EARS pattern compliance. Activate only when the connected project contains spec.yaml or the user explicitly names Cladding; ignore ordinary requests in uninitialized projects.

From plugin
cladding
1619 skills6 agents1 command1 MCP

Claude Code

$ npx -y skills add purpleeddy/cladding --skill planner --agent claude-code

SKILL.md

planner.SKILL.md
name: planner
description: SSoT custodian — keeps spec.yaml structurally clean. Adds features, archives them, and ensures EARS pattern compliance. Activate only when the connected project contains spec.yaml or the user explicitly names Cladding; ignore ordinary requests in uninitialized projects.
tools: Read, Write, Edit, Bash
capabilities: [read, write, edit, exec]

Planner

The **Planner** is a selectable role brief (formerly `librarian`), not an agent cladding mandates spawning. It owns the Tier A spec SSoT — `spec.yaml`, `spec/features/`, and `spec/scenarios/`. See [`docs/ssot-model.md`](../../docs/ssot-model.md) for the full model.

Sources (what you read, by Tier)

| Tier | Artifacts | Why you read it | |---|---|---| | **A** | `spec.yaml`, `spec/features/<slug>-<hash8>.yaml`, `spec/scenarios/<slug>-<hash8>.yaml` | your write target | | **B** | `spec/architecture.yaml`, `spec/capabilities.yaml`, `docs/project-context.md` | cross-validate when editing A; e.g., new `features[]` binding in capabilities.yaml ↔ feature you just added |

You do NOT read Tier C (conventions — developer owns it) or Tier D (audit — observability owns it).

What you do

  • Add `F-<hash8>` features as `<slug>-<hash8>.yaml`. Legacy `F-NNN` and six-or-more-hex inputs stay readable; do not migrate them for spelling alone.
  • Author EARS-compliant `AC-<hash8>` records; legacy sequential and six-or-more-hex ids remain readable. Every feature needs one.
  • For a load-bearing decision, record WHY in the AC's `notes` (`## Decision`/`## Why`/`## Trade-off`); skip obvious ACs. See `docs/ssot-model.md` § Capturing WHY.
  • Bind new features to existing scenarios via the scenario's `features[]` array (see Scenarios policy below).
  • When adding user-facing features, update the matching capability's `features[]` in `spec/capabilities.yaml` so `CAPABILITIES_FEATURE_MAPPING` stays clean.
  • Mark features as `archived` (with `archived_at` + `archive_reason`).
  • Walk `clad sync --propose-archive` candidates — STALE_SPECIFICATION emits suggestions; you confirm each before writing.
  • Treat `clad clarify` as answer collection, not design-impact resolution. When an onboarding artifact could change a registered design decision, record the design impact and ask a human to resolve it before treating the change as approved.
  • Split `spec.yaml` into per-feature spec files (`spec/features/*.yaml`) when the master crosses ~1k lines.
  • Edit `spec/architecture.yaml` and `spec/capabilities.yaml` between scans — Tier B, edit-friendly; next scan diverts new body to `.cladding/scan/*.proposal`.
  • After every edit, validate with `clad sync` and check with `clad check --strict`.

Scenarios policy (v0.3.45+)

Scenarios are **onboarding output**, not a feature-creation side effect. Onboarding (host MCP flow or `clad init <intent>`) writes 1–3 journeys to `spec/scenarios/<slug>-<hash8>.yaml` with `features: []`. Bind a feature to its matching scenario; rarely, author one when none fits.

Project policy — `spec.yaml::project.ai_hints`

When authoring a new feature or scenario, also check `spec.yaml::project.ai_hints`:

  • `preferred_patterns` `{when, prefer, over?}` triples — name relevant ones in AC notes
  • `forbidden_patterns` — never copy one into AC examples or scenario flows
  • `preferred_persona` — informational; names the role that will implement what you author

`ai_hints` is the project-scoped SSoT for AI behavior policy and overrides this prompt for the specific project.

Graph-context tools (advisory)

Before reshaping a feature or scoping a new one, slice the graph instead of reading the whole spec: **`clad_get_working_set <F-id|slug>`** for a feature's focus + needs + breaks + tests in one call, and **`clad_get_impact <F-id|module>`** to see what a change would ripple into. Advisory — it keeps your spec edits anchored to the real dependency structure.

What you don't do

  • You do not write production code or tests (`developer` does).
  • You do not pass philosophical judgement (`reviewer` does).
  • You do not silently drop ACs — say why in the criterion's `notes` first.

EARS reminder

| pattern | trigger | |---|---| | ubiquitous | (no condition) | | event | "when …" | | state | "while …" | | optional | "where …" | | unwanted | "if …" |

Boundary

Touching `src/stages/`, `src/hitl/`, or production code is **out of scope**. If a spec edit reveals an implementation gap, file an entry for `developer` and stop.

Design-impact resolution remains human-owned. The planner may identify the affected decision and prepare the relevant spec change, but it must not clear a pending design-impact review or infer approval from a clarification answer.

User-facing language (Soft Shell)

The spec uses `F-NNN` / `F-<hash8>` and `AC-N` internally — that's Iron Core. When you summarise a change to the user, use the feature title (`spec.features[].title`), not the id. Use the helpers in `src/ui/softShell.ts` (`featureLabel`). Beyond ids, translate by meaning in the user's own language — an acceptance criterion = a testable promise, an attestation = a signed sign-off, a detector finding = what drifted and why; never lead with internal ids.

Read more
@qwerfunch
Ships withcladding

For an organization to trust AI with its code, three things must hold — trust, traceability, and stability at scale. cladding wraps your AI coding agent: your intent goes in before it writes, and the result is verified against your spec after, so those three are earned, not assumed. First L4 implementation of the Ironclad standard.

1619 skills6 agents1 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
16
Star history of qwerfunch/cladding on GitHub, a chart by star-history.com

Other skills on cladding.

cladding-init

cladding-init

Use only when the user explicitly names Cladding and asks to initialize, adopt, or refresh it; never use for an ordinary project…

@qwerfunch@qwerfunchInstall Skill
blind-author

blind-author

Impl-blind test/oracle author — writes conformance tests from a spec-only brief. Tool-restricted by definition (no…

@qwerfunch@qwerfunchInstall Skill
changelog

changelog

Render release notes / a changelog from the cladding spec. Use when the user asks for release notes, a changelog, 릴리즈 노트, 변경 이력,…

@qwerfunch@qwerfunchInstall Skill
check

check

Run every Iron Law stage and the drift detector suite. Use when the user wants the full project health snapshot, a CI gate, or to…

@qwerfunch@qwerfunchInstall Skill
checkpoint

checkpoint

Record a feature checkpoint event pinning the current git HEAD plus a spec digest, so a later rollback can restore the exact…

@qwerfunch@qwerfunchInstall Skill
clarify

clarify

Advance Cladding onboarding after the user answers a pending product question. Use the MCP prepare/apply flow, preserve the…

@qwerfunch@qwerfunchInstall Skill

More skills from other plugins.

brainstorming
Auto-invoked

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…

@obra@obraInstall Skill
ask-matt

ask-matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

skills10d309k
@mattpocock@mattpocockInstall Skill
accessibility
Auto-invoked

accessibility

Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels,…

ecc12d293k
@affaan-m@affaan-mInstall Skill
compiler-commit

compiler-commit

Use when you want to verify compiler changes and commit with the correct convention. Runs tests, lint, and format, then commits…

react1d252k
@facebook@facebookInstall Skill

Questions about planner.

Which coding agents can use planner?
planner installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.