MCPInstall

foundation-stakeholder-update

Produces async communication to stakeholders, primarily non-attendees and secondarily some attendees who want a reference. Translates meeting outcomes into what-it-means language for readers, with channel variants (slack, teams, email, notion, exec-memo) and audience variants (engineering, design, leadership, customer-facing, mixed). Surfaces a primary CTA up front, flags technical-to-business translations for user verification, and detects thread continuation from prior updates.

Installs
697
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-stakeholder-update
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads foundation-stakeholder-update automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

Stakeholder Update

A stakeholder update is async communication to readers who need to know the outcomes of a meeting. Primary audience is non-attendees; secondary audience is some attendees who want a reference version (came in late, stepped out, need something to forward).

Distinct from foundation-meeting-recap in audience, format, and purpose: the recap is a summary of what happened for people who were in the room; the stakeholder-update is a translation of outcomes into what-it-means for readers (tailored to their role, with technical-to-business translation where the audience warrants it).

Distinct from /discover-stakeholder-summary: that skill is about understanding stakeholders (input to the user's work). This skill is about communicating to stakeholders (output from the user's work).

This skill belongs to the Meeting Skills Family. It conforms to the Meeting Skills Family Contract.

When to Use

  • After a meeting with outcomes affecting teams who were not in the room
  • When a decision or commitment needs to propagate to downstream teams async
  • When a recap exists and needs to be translated into audience-specific language
  • When the user needs something from readers (specific CTA) and cannot afford for it to be buried

When NOT to Use

  • Summarizing what happened for attendees. Use foundation-meeting-recap.
  • Broadcasting status with no specific audience tailoring. A plain Slack message is sufficient; the skill adds value when translation or CTA framing matters.
  • Communicating research findings to stakeholders. Use /discover-interview-synthesis plus targeted comms.
  • The source is not one meeting's outcomes but a broader artifact (a spec, discovery synthesis, research report, GTM plan, or experiment results) that needs to fan out to several audience-tailored briefings from one canonical master. Use foundation-stakeholder-briefings.

Zero-friction execution

Per the family contract, this skill never blocks on interrogation. Default flow:

  1. Load related recap (preferred) or raw meeting notes
  2. Detect thread continuation by scanning same directory for prior stakeholder-updates on the same project/topics
  3. Infer channel (if not specified) from audience variant: engineering / design → slack; leadership → email; mixed → notion
  4. Present a brief inference summary (detected channel, audience, CTA, thread continuation if any, translation candidates)
  5. Accept go or corrections
  6. Produce the channel-tailored update

If invoked with --go, skip the inference summary. The entire output is shareable content (per family contract. no separate summary block needed).

Instructions

When asked to create a stakeholder update, follow these steps:

  1. Load related recap Parse frontmatter to extract meeting context, decisions, actions, outcomes. If no recap provided, accept raw meeting notes with a lower input-quality flag.

  2. Detect thread continuation Scan same directory for prior stakeholder-update artifacts with matching project / topics. If found, reference the prior update in the frontmatter thread_continuation_of field.

  3. Present go-mode inference summary Show inferred channel (if not specified), detected audience, proposed CTA, thread continuation status, translation candidates (flagged jargon or acronyms that may not land).

  4. Distill key outcomes From the recap or notes, select 3-5 outcomes that matter to the target audience. Do not include everything from the recap. filter by audience relevance.

  5. Frame the CTA If action is needed: lead with it, not bury it If FYI-only: state explicitly in the TL;DR

  6. Translate technical-to-business Flag jargon and acronyms unlikely to land with the audience. Provide plainer alternatives. Keep a translations-applied log for user verification in the output's Generation context.

  7. Build the channel-tailored variant

    • Slack / Teams: headline (one action-oriented line, optionally one emoji), TL;DR 3 bullets, context sentence, "what this means for [audience]", CTA (bold with marker if action needed; italic "FYI-only" if not), thread-continuation link, more-links footer
    • Email: subject line (topic + outcome), greeting ("Hi [audience]"), opening sentence (headline + why they are receiving this), TL;DR, context 2-3 sentences, what was decided / advanced, what this means for your team, what I need from you (with by-when), thread reference, sign-off
    • Notion: rich H1/H2/H3 structure, longer context block, collapsible sections for detail, table for decisions and actions
    • Exec-memo: TL;DR first (3-4 lines), supporting detail in 3 sections max, asks section upfront, formal tone, no emoji
  8. Render TEMPLATE.md with the selected variant as primary Other variants may be included as collapsible alternates for user flexibility. Remove all guidance blockquotes from the final artifact.

  9. Validate

    • channel is in enum
    • audience_variant is in enum
    • primary_cta is non-empty (use "FYI-only" if no action needed)
    • related_recap is a valid filename reference or flagged as raw-notes input

Quality Checklist

  • Channel variant matches the specified or inferred channel
  • Audience variant's "what this means for you" is specifically tailored (not generic)
  • CTA is surfaced up front, not buried
  • Technical-to-business translations are logged in Generation context for user verification (INTERNAL. outside shareable boundary)
  • Thread continuation referenced if prior updates exist on the same topic
  • ## Shareable update section present with channel-tailored body (v1.1.0. replaces "entire output is shareable" from v1.0.0)
  • Explicit boundary marker between Shareable update and internal sections (translations, sources)
  • Sources and References section lists the source recap and any prior updates in thread (INTERNAL)
  • Filename uses v1.1.0 variant pattern: YYYY-MM-DD_HH-MMtimezone_title_stakeholder-update-{channel}-{audience}.md

See also

  • Meeting Skills Family Contract
  • foundation-meeting-recap. upstream: primary input source
  • /discover-stakeholder-summary. distinct purpose (understanding stakeholders, not communicating to them)

FAQ

What does the foundation-stakeholder-update skill do?

Produces async communication to stakeholders, primarily non-attendees and secondarily some attendees who want a reference. Translates meeting outcomes into what-it-means language for readers, with channel variants (slack, teams, email, notion, exec-memo) and audience variants (engineering, design, leadership, customer-facing, mixed). Surfaces a primary CTA up front, flags technical-to-business translations for user verification, and detects thread continuation from prior updates.

How do I install foundation-stakeholder-update?

Run npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-stakeholder-update in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/foundation-stakeholder-update/ (personal) or .claude/skills/foundation-stakeholder-update/ (project).

Which AI agents can use foundation-stakeholder-update?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is foundation-stakeholder-update safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains foundation-stakeholder-update?

It is published by product-on-purpose in product-on-purpose/pm-skills. It has 697 recorded installs.

More from product-on-purpose/pm-skills

View all →

deliver-acceptance-criteria

product-on-purpose/pm-skills

Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form. Use when turning requirements into verifiable scenarios for engineering handoff and QA sign-off. For a dedicated catalog of boundary conditions, error states, and recovery paths across a feature, use deliver-edge-cases; to write the stories themselves, use deliver-user-stories.

Testing & QA1.1K installs

deliver-prd

product-on-purpose/pm-skills

Creates a comprehensive Product Requirements Document that aligns stakeholders on what to build, why, and how success will be measured. Use when specifying features, epics, or product initiatives for engineering handoff.

deliver-user-stories

product-on-purpose/pm-skills

Generates user stories in the standard persona, action, benefit story format from product requirements or feature descriptions. Use when breaking a feature into stories for sprint planning, writing tickets, or communicating scope to engineering. For testable Given/When/Then acceptance criteria on a story, use deliver-acceptance-criteria; for boundary and failure scenarios, use deliver-edge-cases.

deliver-edge-cases

product-on-purpose/pm-skills

Documents edge cases, error states, boundary conditions, race conditions, and recovery paths for a feature - the systematic catalog of what can go wrong and the failure modes to design for. Use during specification to map the failure surface and ensure comprehensive coverage, or during QA planning to identify boundary and limit scenarios to test. Distinct from deliver-acceptance-criteria, which writes story-level Given/When/Then checks; this skill produces the whole-feature edge-case catalog.

Testing & QA878 installs

discover-competitive-analysis

product-on-purpose/pm-skills

Creates a structured competitive analysis comparing features, pricing, and positioning across 3-5 direct and indirect competitors, with a 2x2 map and actionable strategic recommendations. Use before entering a market, planning differentiation, or after losing deals. For market size rather than competitor positioning, use discover-market-sizing instead.

define-problem-statement

product-on-purpose/pm-skills

Creates a clear problem framing document with user impact, business context, and success criteria. Use when starting a new initiative, realigning a drifted project, or communicating up to leadership.

Business & Finance821 installs

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

lark-base

open.feishu.cn

飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。

lark-drive

open.feishu.cn

飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

lark-im

open.feishu.cn

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。