define-hypothesis
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
Turns any source artifact (spec, discovery, research, GTM plan, experiment results, retro, or raw notes) into one canonical master document plus a set of audience-tailored briefings, each re-pitched to a stakeholder lens (executive, board, engineering, UX, PMM, sales, CS, legal,
$ npx -y skills add product-on-purpose/pm-skills --skill foundation-stakeholder-briefings --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/foundation-stakeholder-briefingsContext preview
The summary Claude sees to decide when to auto-load this skill.
Turns any source artifact (spec, discovery, research, GTM plan, experiment results, retro, or raw notes) into one canonical master document plus a set of audience-tailored briefings, each re-pitched to a stakeholder lens (executive, board, engineering, UX, PMM, sales, CS, legal,
name: foundation-stakeholder-briefings description: "Turns any source artifact (spec, discovery, research, GTM plan, experiment results, retro, or raw notes) into one canonical master document plus a set of audience-tailored briefings, each re-pitched to a stakeholder lens (executive, board, engineering, UX, PMM, sales, CS, legal, data, or a custom audience). Every briefing is a traceable projection of the master, so the versions never disagree. Use when one piece of work must reach several audiences who each need a different framing, decision, and level of detail." license: Apache-2.0 metadata: classification: foundation version: "1.0.1" updated: 2026-07-04 category: communication frameworks: [stakeholder-comms] author: product-on-purpose
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
A stakeholder-briefings artifact takes one source (a PRD, a discovery synthesis, a research report, a GTM or launch plan, experiment results, a retro or incident write-up, or raw notes) and produces a single saveable file containing:
1. a **master document**: the canonical, audience-neutral synthesis of the work (what and why, decisions, status, risks and open questions, asks, timeline), with each claim numbered (`M1`, `M2`, ...); and 2. a set of **audience briefings**: the same content re-pitched for each chosen stakeholder, one self-contained, copy-paste-ready block per audience.
The skill runs **master-first, then projects**. The master is the single source of truth; every briefing is a projection of it. A briefing may omit, reorder, and translate master content, but it may never assert a claim that is not in the master. That projection rule is what keeps the executive version and the engineering version from quietly disagreeing, and it is the difference between this skill and asking a model to "rewrite this six ways."
Distinct from `foundation-stakeholder-update` (one async update of meeting outcomes for a single audience, meeting-bound), `discover-stakeholder-summary` (a map of who stakeholders are and their influence/interest), and `foundation-persona` (a customer/buyer viewpoint to design or market against).
When asked to create stakeholder briefings, follow these steps:
1. **Ingest and classify the source.** Read the provided artifact. Classify its type (spec/PRD, discovery/research, GTM/launch, strategy/roadmap, experiment/metrics, incident/retro, compliance/privacy/security, or raw/ambiguous). If the source is thin, continue but set `input_quality: low` and name the gap.
2. **Build the master.** Write the audience-neutral canonical document with these sections: What and Why, Decisions, Status, Risks and Open Questions, Asks, Timeline. **Number every load-bearing claim** with a stable ID (`M1`, `M2`, ...). The master carries no audience-specific spin; it is the shared substrate.
3. **Propose the audiences.** From the source type, propose the relevant subset using `references/source-type-map.md` (for example, a spec proposes Engineering, UX/Design, Data/BI, Executive; a GTM plan proposes PMM, Sales, CS/Support, Executive). Present the proposal and accept `go` (generate the proposed set), an edit (`drop X, add Y`), or `all` (all nine). If invoked with `--go`, skip the prompt and generate the proposal. No audience is ever locked out.
4. **Project each briefing.** For each chosen lens (see `references/audience-lenses.md`), render a self-contained block delimited by `--- BEGIN: <lens> ---` / `--- END ---`, containing:
Every load-bearing line must trace to a master claim. Do not introduce a claim that is not in the master.
5. **Flag translations.** Keep a translations-applied log (internal, below the shareable boundary) for every technical-to-business or inferred re-pitch, so the user can verify it lands. This section is never part of a shareable briefing.
6. **Self-check the invariant** before finalizing:
7. **Render the artifact.** Master (with claim IDs) -> the delimited briefing blocks -> the boundary marker -> the translations-applied log -> Sources and References. Remove all guidance blockquotes from the final output.
Nine first-class lenses,
68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflows, 200+ output samples, guides, and CI-enforced contracts. Apache 2.0.
Repo: product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions…
Creates an opportunity solution tree connecting a desired outcome to customer opportunities…
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against…
Creates a clear problem framing document with user impact, business context, and success…
Generates structured Given/When/Then acceptance criteria for a user story or feature slice,…