utility-pm-skill-builder — скилл для Claude Code: сборка PM-скиллов
Ведёт от идеи PM-скилла до готового Skill Implementation Packet: анализ пробелов, проверка Why Gate, классификация и черновики файлов в staging.
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a claude-codeЧто делает utility-pm-skill-builder
Скилл помогает добавлять новые PM-скиллы в библиотеку pm-skills. Вы описываете идею — либо через проблему, либо сразу через сам скилл — а он проверяет, нет ли пересечения с уже существующими, и предлагает, что именно закрывает пробел. Если пересечение сильное, срабатывает Why Gate: нужно назвать 2-3 сценария, где текущие скиллы не справляются. Не смогли — получите совет переделать существующий скилл или собрать workflow.
Дальше идёт проверка масштаба: одна это активность или несколько, не стоит ли разбить на отдельные скиллы. Потом классификация — domain, foundation или utility — с выбором диалекта и образца для подражания. На выходе получается Skill Implementation Packet: документ с черновиками файлов, которые лежат в staging и ждут проверки перед переносом в канонические папки.
Скилл рассчитан именно на конвенции репозитория pm-skills. Для правки готового скилла есть utility-pm-skill-iterate, для аудита — utility-pm-skill-validate, а для скилла вне этого репозитория нужен общий билдер. Работает в Claude, Codex, Cursor, GitHub Copilot, Gemini CLI и OpenCode.
Какие задачи решает
- проверить, не дублирует ли новая идея уже существующий скилл
- разбить слишком широкую идею на отдельные скиллы
- выбрать классификацию и диалект для нового PM-скилла
- собрать черновики файлов в staging перед публикацией
- отсеять идеи, которые не тянут на отдельный скилл
Примеры запросов агенту
- Хочу новый PM-скилл: помогает продуктовой команде собирать отчёт по метрикам после релиза
- Проверь мою идею скилла на пересечения с существующими в pm-skills
- Классифицируй этот скилл и предложи образец, на который опереться
Как установить utility-pm-skill-builder
1Через Skills CLI (Vercel)
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a claude-code2Вручную: положить файлы
~/.claude/skills/utility-pm-skill-builder/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/utility-pm-skill-builder/
1Через Skills CLI (Vercel)
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a codex2Вручную: положить файлы
.agents/skills/utility-pm-skill-builder/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a cursor2Вручную: положить файлы
.cursor/skills/utility-pm-skill-builder/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install product-on-purpose/pm-skills utility-pm-skill-builder2Вручную: положить файлы
.github/skills/utility-pm-skill-builder/SKILL.md1Через Skills CLI (Vercel)
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a gemini-cli2Командой платформы
gemini skills install https://github.com/product-on-purpose/pm-skills --path skills/utility-pm-skill-builderВручную: положить файлы
.devin/skills/utility-pm-skill-builder/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о utility-pm-skill-builder
Как установить utility-pm-skill-builder в Claude?
Выполните npx skills add product-on-purpose/pm-skills --skill utility-pm-skill-builder -a claude-code. После этого файл скилла окажется по пути ~/.claude/skills/utility-pm-skill-builder/SKILL.md.
Что делает utility-pm-skill-builder?
Проводит от идеи PM-скилла до Skill Implementation Packet: анализ пробелов, Why Gate, классификация по типу и фазе, черновики файлов в staging для проверки перед переносом.
Чем он отличается от utility-pm-skill-iterate и utility-pm-skill-validate?
Этот скилл создаёт новые скиллы. utility-pm-skill-iterate правит существующие, а utility-pm-skill-validate проверяет их на соответствие конвенциям.
Исходный текст
SKILL.md · Apache-2.0
---
name: utility-pm-skill-builder
description: Guides contributors from a PM skill idea to a complete Skill Implementation Packet aligned with pm-skills conventions. Runs gap analysis, validates through a Why Gate, classifies by type and phase, generates draft files, and writes to a staging area for review before promotion.
license: Apache-2.0
metadata:
classification: utility
version: "2.0.0"
updated: 2026-10-17
category: coordination
frameworks: [triple-diamond]
author: product-on-purpose
---
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
# PM Skill Builder
This skill creates new PM skills for the pm-skills library. It produces a
Skill Implementation Packet - a complete design document with draft files
in a staging area for review before promotion to canonical locations.
## When to Use
- When you have an idea for a new PM skill
- When you want to add a domain skill (phase-specific), foundation skill
(cross-cutting), or utility skill (meta/tooling) to the pm-skills library
- When a contributor needs guided skill creation that follows repo conventions
## When NOT to Use
- To modify or improve an existing skill → use `utility-pm-skill-iterate`
- To audit an existing skill against conventions → use `utility-pm-skill-validate`
- To create a skill for a non-pm-skills context → use a general agent skill builder
- To create a workflow → workflows are authored directly, not via this builder
## Instructions
When asked to create a new PM skill, follow these steps:
### Step 1: Understand the Idea
Accept the idea in either form:
- **Problem-first**: "What PM problem does this skill solve? Who runs into
this problem, and what do they currently produce (or fail to produce)?"
- **Skill-first**: "Describe the skill you want to create. What artifact
does it produce? What PM activity does it support?"
Both entry points produce the same downstream flow. If the user provides
one form, do not ask for the other - extract what you need and proceed.
If the idea is vague, ask ONE follow-up question to clarify the artifact
type and target audience before proceeding.
### Step 2: Gap Analysis
Check ALL existing skills for overlap. Use the Current Library Reference
below (derive the live inventory from `skill-manifest.json` or `AGENTS.md`)
AND scan the `skills/` directory for the latest inventory. Include all four
families - domain, foundation, utility, and tool - the tool family is easy
to miss since it has no phase prefix pattern in common conversation.
Present findings with specificity:
- Name each overlapping skill and explain what it covers
- Identify the specific gap this new skill would fill
- If overlap is high, trigger the Why Gate (see below)
**Why Gate** (triggers when overlap is found):
Ask the user: "Name 2-3 specific prompts or scenarios where the existing
skills fail to produce what you need."
**Kill Gate**: If the user cannot articulate convincing gaps, recommend
an alternative:
- "Revise [existing skill] to cover this case"
- "Create a workflow combining [skill A] + [skill B]"
- "Add a command variant, not a new skill"
- "This is a documentation improvement, not a new skill"
Do not proceed past the kill gate without either convincing evidence of
a gap or explicit user override.
### Step 3: Scope Check
Evaluate whether the idea should be ONE skill or MULTIPLE skills.
**Splitting signals:**
- The idea produces multiple distinct artifact types
- The idea crosses Triple Diamond phases (e.g., Discover + Deliver)
- The description naturally contains "and" connecting two activities
If splitting is warranted, present the recommendation:
"This seems to cover two distinct PM activities:
1. [Activity A] → produces [Artifact A]
2. [Activity B] → produces [Artifact B]
These work better as separate skills that can be chained via a workflow.
Want to proceed with just [Activity A] for now?"
### Step 4: Classification + Repo-Fit
Determine the skill's classification and naming:
**Domain skills** (phase-specific PM activities):
- Phase: discover | define | develop | deliver | measure | iterate
- Directory: `{phase}-{skill-name}`
- Frontmatter: `phase: {phase}` (required), no `classification` field
**Foundation skills** (cross-cutting, used across phases):
- No phase
- Directory: `foundation-{skill-name}`
- Frontmatter: `classification: foundation` (required), no `phase` field
- Use when: the skill applies to multiple phases equally
**Utility skills** (meta-skills, repo tooling):
- No phase
- Directory: `utility-{skill-name}`
- Frontmatter: `classification: utility` (required), no `phase` field
- Use when: the skill operates on the repo, workflow, or other skills
**Dialect and exemplar selection:**
First, pick the skill's dialect from [Skeleton Canon: The Three Sanctioned
Dialects](../../site/src/content/docs/guides/creating-pm-skills.md#skeleton-canon-the-three-sanctioned-dialects)
(classic, contract-shaped, or tool-family) - this fixes the required heading
skeleton before any exemplar is chosen. Do not default to "mirror the closest
exemplar": an exemplar can itself carry drift (a case variant, an extra or
missing section), and a straight mirror copies that drift forward into the
new skill.
Then identify 1-2 existing skills in the SAME dialect that are the closest
structural match:
- Same phase > same category > similar artifact type
- Read their SKILL.md to confirm instruction style, output-contract wording,
and quality-checklist pattern (the canon fixes the required headings; the
exemplar informs everything else - tone, step granularity, and any
skill-specific extra sections)
- Name the exemplars explicitly: "Modeled after [skill] - same phase,
[category] category, [dialect] dialect"
Present the classification, dialect, and exemplar selection for user confirmation.
### Step 4.5: Eval Readiness (the eval contract)
A new skill must ship **eval-ready** so coverage never falls behind: routing health
and output quality are both measurable from day one. Decide the eval contract here,
then emit its assets in Step 5. Four parts:
**A. Nearest neighbors (C-2).** Name the new skill's 1-3 nearest neighbors - the
existing skills whose triggers most overlap. Derive them from the Step 2 gap analysis
plus same-phase / same-category siblings. These neighbors drive the boundary pointers
(below), the near-miss trigger fixtures (Step 5), and the collision probe (Step 7).
**B. Reciprocal boundary pointers (C-3).** The draft SKILL.md MUST include a
`## When NOT to Use` section that names each neighbor and says when to use that
neighbor instead. For every neighbor, also add the **reciprocal** pointer back: a
"When NOT to Use" bullet in the neighbor's SKILL.md pointing to the new skill. If the
overlap is strong enough to be a measured collision pair, add the pair to
`COLLISION_PAIRS` in `scripts/check-trigger-fixtures.mjs` so the reciprocity gate
(`check-reciprocal-boundary-pointers.mjs`) and the collision probe both cover it.
Reciprocal pointers are what kept the v2.26.0 rewrites collision-clean.
**C. Output-eval family (C-4).** Map the skill to an output-eval family rubric so its
artifact quality is measurable. Pick by phase/category:
| Family rubric | Covers (phase / kind) |
|---|---|
| `framing` | define-* problem/hypothesis/jtbd/opportunity/prioritization + foundation-okr-writer/persona/lean-canvas |
| `specification` | deliver-* prd/acceptance-criteria/user-stories/edge-cases/launch-checklist |
| `discovery` | discover-* interview-synthesis/competitive/market-sizing/journey/stakeholder |
| `technical` | develop-* adr/design-rationale/solution-brief/spike-summary |
| `measurement` | measure-* experiment-design/results/okr-grader/dashboard/instrumentation/survey |
| `learning` | iterate-* retrospective/lessons-log/pivot-decision/refinement-notes |
| `communication` | audience-facing: deliver-release-notes, foundation-stakeholder-update |
Family rubrics live at `docs/internal/eval-rubrics/{family}.md`. If the skill fits a
family that has a rubric, use that `family` value in the scenario frontmatter. If it
opens a NEW family (meeting/tool skills have none yet), note "no family rubric yet -
author one before the skill enters the output-eval roster" and skip the family value.
**D. Fixture + scenario plan (C-1, C-4).** Plan the two eval-asset files emitted in
Step 5: a `trigger-fixtures.json` (routing) and an `output-scenarios/<id>.md` (output
quality). Their shapes are specified in Step 5 items 13-14.
Present the neighbors + family + reciprocal-pointer plan for user confirmation before
generating the packet.
### Step 5: Generate Skill Implementation Packet
Produce the complete packet using `references/TEMPLATE.md` as the format.
The packet includes:
1. **Decision** - recommendation + Why Gate evidence (if applicable)
2. **Classification** - type, phase (if domain), category, directory name
3. **Overlap Analysis** - what was found, why this skill is still needed
4. **Exemplar Skills** - which existing skills modeled, why
5. **Draft Frontmatter** - complete, valid YAML block. The frontmatter MUST begin with `---` at byte 0 of the file (no preceding content of any kind, including HTML comments, BOM, or whitespace). Place any attribution comment AFTER the closing `---` fence, never before. Reference: `library/skill-output-samples/SAMPLE_CREATION.md` Section 5.
6. **Draft SKILL.md** - full content (not an outline), following the Step 4
dialect's canon heading skeleton and the chosen exemplars' instruction style
7. **Draft TEMPLATE.md** - section headers with guidance comments
8. **Draft EXAMPLE.md** - complete, realistic example (150-300 lines) with a
specific PM scenario, every section filled, optional sections demonstrated
both filled and skipped
9. **Draft Command** - command frontmatter
10. **AGENTS.md Entry** - exact text to add
11. **Validation Checklist** - all CI rules checked against the draft
12. **Next Steps** - local CI, testing, contribution workflow
13. **Draft trigger-fixtures.json** (C-1, routing eval) - `evals/trigger-fixtures.json`:
a JSON object `{ "schema": 1, "skill": "{name}", "runs_per_query": 3,
"trigger_threshold": 0.5, "queries": [...] }`. The `queries` array needs **>= 16
total**, **>= 8 with `"expect": "trigger"`** (drawn from the skill's real intents,
NOT just artifact keywords - include intent-only asks) and **>= 8 with
`"expect": "no-trigger"`**, of which **>= 2 are near-misses** aimed at the Step 4.5
neighbors (mark them `"near_miss_of": "{neighbor}"`). Split each class ~60/40 across
`"split": "train"` / `"split": "validation"`. This is the B-4 fixture contract
(`scripts/check-trigger-fixtures.mjs`).
14. **Draft output-scenario** (C-4, output-quality eval) - `evals/output-scenarios/{id}.md`:
frontmatter `scenario: {id}` / `skill: {name}` / `family: {family from Step 4.5}` /
`created: {date}`, then a realistic input brief (>= 100 chars of body) that gives the
skill arm and a freehand control the same raw material. This is the B-7 asset contract
(`scripts/check-output-eval-assets.mjs`). Omit `family` only if Step 4.5 found no
rubric yet.
15. **Draft HISTORY.md** - `HISTORY.md` with the summary table and one baseline row for
the skill's first version (Type `baseline`), plus a `## 1.0.0` section stating the
contract that version establishes. Every skill at 1.0.0 or later ships with this file
from its first version, so the Release column records every version a release ships
(`docs/internal/skill-versioning.md`, "Skill History"). Put the target release in the
Release column, or `-` if none is assigned yet.
### Step 6: Write to Staging Area
Write all generated files to the staging area:
```
_staging/pm-skill-builder/{skill-name}/
├── SKILL.md ← draft skill file
├── HISTORY.md ← draft version history (baseline row)
├── references/
│ ├── TEMPLATE.md ← draft template
│ └── EXAMPLE.md ← draft example
├── evals/
│ ├── trigger-fixtures.json ← draft routing fixtures (C-1)
│ └── output-scenarios/{id}.md ← draft output-quality scenario (C-4)
└── command.md ← draft command
```
> **Note**: `_staging/` is gitignored - draft artifacts never ship in releases.
> The staging folder is discarded after promotion.
Report what was written and where.
### Step 7: Promote (on confirmation)
Ask: "Review the packet above. When ready, I'll promote the files to
their canonical locations. Proceed? [yes/no]"
If yes, promote by copying each file from staging to its canonical path:
| Staging file | Canonical location |
|--------------|--------------------|
| `_staging/pm-skill-builder/{skill-name}/SKILL.md` | `skills/{dir-name}/SKILL.md` |
| `_staging/pm-skill-builder/{skill-name}/HISTORY.md` | `skills/{dir-name}/HISTORY.md` |
| `_staging/pm-skill-builder/{skill-name}/references/TEMPLATE.md` | `skills/{dir-name}/references/TEMPLATE.md` |
| `_staging/pm-skill-builder/{skill-name}/references/EXAMPLE.md` | `skills/{dir-name}/references/EXAMPLE.md` |
| `_staging/pm-skill-builder/{skill-name}/evals/trigger-fixtures.json` | `skills/{dir-name}/evals/trigger-fixtures.json` |
| `_staging/pm-skill-builder/{skill-name}/evals/output-scenarios/{id}.md` | `skills/{dir-name}/evals/output-scenarios/{id}.md` |
| `_staging/pm-skill-builder/{skill-name}/command.md` | `commands/{command-name}.md` |
Where `{dir-name}` is the classification-prefixed directory (e.g., `deliver-change-communication`).
Then:
1. Create the target directories: `skills/{dir-name}/references/` and `skills/{dir-name}/evals/output-scenarios/`
2. Copy each file to its canonical location
3. Append the AGENTS.md entry from the packet; if Step 4.5 declared a collision pair, add it to `COLLISION_PAIRS` in `scripts/check-trigger-fixtures.mjs` and add the reciprocal "When NOT to Use" bullet to each neighbor's SKILL.md
4. Run CI validation: `bash scripts/lint-skills-frontmatter.sh && bash scripts/validate-agents-md.sh && bash scripts/validate-commands.sh`, then the eval-asset gates `node scripts/check-trigger-fixtures.mjs`, `node scripts/check-output-eval-assets.mjs`, `node scripts/check-reciprocal-boundary-pointers.mjs`, and the collision probe `node scripts/check-new-skill-collision.mjs --skill={name}` (C-2 - confirms the new skill recalls its own triggers and steals none of a neighbor's). Regenerate the catalog surfaces: `node scripts/gen-skill-manifest.mjs && node scripts/gen-skill-manifest.mjs --agents`
5. If validation passes, delete the staging folder: `_staging/pm-skill-builder/{skill-name}/`
6. If validation fails, report the error and keep staging intact for fixes
Design rationale lives in the GitHub issue, PR, or effort brief - not
in a permanent packet file.
Provide post-promotion guidance:
- "Run CI locally: `bash scripts/lint-skills-frontmatter.sh`"
- "Test the skill: try `/{command-name}` with a realistic scenario"
- "If contributing: create a GitHub issue with the skill-proposal template,
then open a PR"
## Current Library Reference
**Do not hand-maintain a skill inventory in this file.** A static table here
has drifted from the real catalog before (most recently: an entire family
untracked, plus a missing row in another) because every new or removed skill
would require a hand edit here too. Instead, derive the live inventory at
run time, every time, from one of:
- **`skill-manifest.json`** (repo root) - generated, machine-readable; every
skill's name, classification, phase (if any), category, and description.
- **`AGENTS.md`** - generated, human-browsable; the same catalog grouped by
family with a short description per skill.
Both are regenerated by `node scripts/gen-skill-manifest.mjs` (and
`--agents`) whenever a skill is added, changed, or removed, so they track
`skills/` on disk exactly - unlike a hand-written table, they cannot drift.
The families, for orientation (no counts kept here on purpose - read the
manifest for the current total):
| Family | Phase-scoped? | Directory prefix | Covers |
|--------|---------------|-------------------|--------|
| Domain | Yes (discover/define/develop/deliver/measure/iterate) | `{phase}-` | PM activities scoped to one Triple Diamond phase |
| Foundation | No | `foundation-` | Cross-cutting artifacts used across phases (canvases, personas, OKRs, meeting artifacts, stakeholder communication, pre-build risk review) |
| Utility | No | `utility-` | Meta/tooling skills that operate on the repo, workflow, or other skills (this skill is one) |
| Tool | No | `tool-` | Workshop facilitation formats (Foundation Sprint family, Design Sprint family, standalone facilitation formats) |
For gap analysis (Step 2), read `skill-manifest.json` or `AGENTS.md` in
full - all four families, not just domain and foundation - before judging
overlap. The tool family is the easiest to miss because none of its skills
share a phase name with the idea being pitched.
## Output Contract
The builder MUST produce draft files for the new skill:
- `SKILL.md` - full skill instructions (including a `When NOT to Use` section naming neighbors, C-3)
- `HISTORY.md` - version history with a baseline row for the first version
- `references/TEMPLATE.md` - output template with guidance comments
- `references/EXAMPLE.md` - complete worked example (150-300 lines)
- `evals/trigger-fixtures.json` - routing eval fixtures (C-1; B-4 contract)
- `evals/output-scenarios/{id}.md` - output-quality scenario + family rubric (C-4; B-7 contract)
- `command.md` - slash command file
All drafts are written to `_staging/pm-skill-builder/{skill-name}/` (gitignored).
On promotion, files are copied to canonical locations, AGENTS.md is
updated, and the staging folder is discarded.
## Quality Checklist
Before finalizing the packet, verify all items in both tiers:
### CI Validation (must pass)
- [ ] `name` matches directory name
- [ ] Description is 20-100 words (single-line, no multiline YAML)
- [ ] `license` present at the top level, and `version` and `updated` present under `metadata:`, never at the top level (`lint-skills-frontmatter.sh` rejects a top-level `version`, `updated`, `phase` or `classification`)
- [ ] Classification correct, under `metadata:` (domain → `phase:`, foundation/utility/tool → `classification:`, never both)
- [ ] Directory name follows convention: `{phase/classification}-{skill-name}`
- [ ] TEMPLATE.md has ≥3 `##` sections
- [ ] Command file references correct skill path
- [ ] AGENTS.md entry uses `####` + `**Path:**` format
### Quality Checks (should pass)
- [ ] Gap analysis checked all existing skills (not just same-phase)
- [ ] Why Gate evidence is specific (names prompts/scenarios, not vague)
- [ ] EXAMPLE.md is a complete artifact (150-300 lines), not an outline
- [ ] HISTORY.md has a baseline row for the first version and a matching `## 1.0.0` section
- [ ] Output contract is present in draft SKILL.md
- [ ] Quality checklist is present in draft SKILL.md
### Eval contract (C-1..C-4; ship eval-ready)
- [ ] Nearest neighbors named (C-2); `When NOT to Use` section points to each
- [ ] Reciprocal "When NOT to Use" pointer added back from each neighbor (C-3); collision pair added to `COLLISION_PAIRS` if strong overlap
- [ ] `evals/trigger-fixtures.json` present and meets the B-4 contract (>=16 queries, >=8/class, >=2 near-misses, train/validation split)
- [ ] `evals/output-scenarios/{id}.md` present with `scenario`/`skill`/`family` frontmatter mapping to an existing rubric (or family deferred with a noted reason)
- [ ] Collision probe run, key-free: `check-new-skill-collision.mjs --skill={name} --emit-tasks`, then dispatch the `pm-skill-router` sub-agent (Haiku) over the emitted queries and apply the verdict; the new skill recalls its triggers and steals none of a neighbor's. (Unattended CI may instead use the Messages-API path with `ANTHROPIC_API_KEY`.)
## Examples
See `references/EXAMPLE.md` for a completed Skill Implementation Packet
demonstrating a realistic domain skill creation.
© product-on-purpose · Apache-2.0 · product-on-purpose/pm-skills