
foundation-meeting-synthesize
Cross-meeting archaeology skill. Consumes multiple meeting recaps (or raw notes) over a period and surfaces patterns invisible in any single meeting. Shows how decisions evolved, who has been saying what, where threads are stalling, and where contradictions have emerged. Produces a plain-text timeline, themes with confidence markers, stakeholder position tracking, consolidated decision list, contradiction flags, open items, narrative summary, and prioritized follow-ups.
- Installs
- 693
- 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-meeting-synthesize- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads foundation-meeting-synthesize automatically when relevant.
- 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.
Meeting Synthesize
Meeting synthesis is the archaeology skill for multi-meeting initiatives. It consumes a set of meeting recaps (and optionally raw notes) over a period, and surfaces patterns that no single meeting reveals: how decisions evolved, how stakeholder positions shifted, where threads are stalling, where contradictions have emerged.
Distinct from /discover-interview-synthesis: that skill works on user-research conversations with research-specific frameworks (jobs-to-be-done, buying insights). This skill works on internal org meetings with org-specific patterns (stakeholder alignment, decision evolution, project history).
This skill belongs to the Meeting Skills Family. It conforms to the Meeting Skills Family Contract.
When to Use
- Board prep or exec-brief preparation across a meeting sequence
- Onboarding a new team member into the history of an initiative
- Project retrospective input (the story of how we got here)
- Investigating why a multi-meeting initiative has stalled
- Quarterly review of a topic that has crossed many meetings
- Surfacing contradictions that no single-meeting reviewer caught
When NOT to Use
- Single-meeting summary. Use
foundation-meeting-recapinstead. - Communicating outcomes outward. Use
foundation-stakeholder-update. - User research conversation synthesis. Use
discover-interview-synthesis.
Zero-friction execution
Per the family contract, this skill never blocks on interrogation. Default flow:
- Load all provided source files (recaps preferred, raw notes accepted with lower input-quality flag)
- Apply any filters (time range, topic, stakeholder)
- Run inference on themes, stakeholder evolution, contradictions
- Present a brief inference summary (meeting count after filter, time range detected, per-source input quality, scope filter applied)
- Accept
goor corrections - Produce the synthesis
If invoked with --go, skip the inference summary. Format hints (board-prep, onboarding, retro-input, exec-brief) control output presentation without changing the underlying process.
Instructions
When asked to create a meeting synthesis, follow these steps:
-
Load sources Read all provided recap filenames or note files. Parse frontmatter to extract meeting metadata. Note per-source input quality (recap frontmatter's
input_qualityif available; otherwise assess from content).Metadata source tracking (v1.1.0): for each recap, also note the
meeting_type_sourcefield (explicit | inferred | null). When synthesizing across mixed sources, the synthesis must document the mix explicitly in the Scope section: "meeting_type values: N explicit, M inferred, K null." This prevents non-reproducible results when filtering by meeting_type across a mix of confidence levels. If filtering bymeeting_type, state whether the filter includes inferred values and how null values are handled. -
Apply filters If time range, topic, or stakeholder filter provided, narrow the source set before proceeding. Record the filter applied in frontmatter
scope_filter. -
Present go-mode inference summary Meeting count after filter, time range detected from source metadata, per-source input quality levels, scope filter description.
-
Build the plain-text timeline Chronological order by
meeting_date. Each entry shows date, meeting name, key decision or shift, and confidence or contradiction flag if applicable. Render as markdown (no binary images. must render everywhere). -
Extract themes Cluster recurring topics across sources. For each theme, record description, sources where it appeared, and confidence marker tied to frequency ("appears in 5/5 meetings" → high; "appears in 2/5 meetings" → medium; "mentioned in 1 meeting" → low).
-
Track stakeholder positions For each named stakeholder across sources, record initial position → current position, alignment state (aligned / divergent / shifting), and key statements with dates. Flag confidence on each position based on whether it was direct-quoted or paraphrased.
-
Consolidate decisions Cross-meeting, sorted chronologically. Table format: Date | Decision | Context | Meeting | Confidence.
-
Separate decision evolution from unresolved contradictions (v1.1.0) Two distinct outputs, not one combined "contradictions" section:
- Decision evolution (resolved): earlier decision → later decision on the same topic, where the later one supersedes. This is historical context, not a red flag. No
⚠emphasis. - Unresolved contradictions: decisions or positions currently in conflict that need reconciliation. Use
⚠visual emphasis. For each:- Earlier reference (meeting + date + decision)
- Later reference (meeting + date + decision that conflicts)
- Status: unresolved / needs reconciliation
The distinction matters because v1.0.0 conflated them, creating false-positive "contradictions" in exec contexts where the "contradiction" was actually intentional scope evolution.
- Decision evolution (resolved): earlier decision → later decision on the same topic, where the later one supersedes. This is historical context, not a red flag. No
-
Identify open items and stalled threads Topics surfacing 2+ times without resolution. When they last appeared.
-
Draft narrative summary 2-3 paragraphs: what happened, what changed, where we are, what is at stake. The "story" of the meeting set.
-
Prioritize follow-up suggestions
- High: unblocking now; suggested owner or forum
- Medium: important but not blocking
- Low: monitor Each with rationale.
-
Apply format hint (if provided) One process generates the full synthesis data. The hint controls section ordering and truncation for the specific use case:
board-prep: lead with narrative + contradictions + prioritized follow-ups; shorter timelineonboarding: lead with narrative + stakeholder tracking; full timelineretro-input: lead with themes + stalled threads + meeting-quality aggregateexec-brief: TL;DR + top 3 items only
-
Render TEMPLATE.md and validate
source_meetingslist is non-emptytime_range.start≤time_range.end- Every theme has a confidence marker
- Every contradiction has before/after source citations
- At least 1 prioritized follow-up
Project Memory Contract
Active only when .claude/pm-skills.local.md exists. With no file, ignore this section entirely
and behave exactly as described above.
- Reads:
active_initiativeand priorinterpretationartifacts on the same topic, so the synthesis shows movement rather than restating what is already recorded. - Writes: the synthesis as an
interpretationartifact. - Posture: propose the entry and wait for confirmation before writing, unless
memory_auto_append: trueis set, in which case append and echo what was written. - Write discipline: re-read the file immediately before writing, never from the copy that produced the proposal. If it changed in between, merge your entry into the current state and re-propose rather than overwriting; add only your own entry and leave every other field and section byte-identical. Nothing enforces this at runtime and the file is gitignored, so a careless whole-file write loses another session's work with no way to recover it.
This complements the family's filename-based chaining rather than replacing it: filenames still locate the sibling artifacts of one meeting, while project memory carries the durable product context across meetings.
Quality Checklist
- Source meetings listed with filename + date + per-source input quality
- Time range populated and sensible
- Scope filter described (or "none applied")
- Timeline is plain-text markdown (no binary images)
- Themes include confidence markers tied to frequency
- Stakeholder position tracking shows evolution (initial → current), not just snapshot
- Consolidated decision list is chronological with source citations
- Contradictions are flagged in their own first-class section (not buried)
- Narrative summary is 2-3 paragraphs, not bullets
- Follow-ups are prioritized (High / Medium / Low) with rationale
- Frontmatter omits single-meeting fields (meeting_title, meeting_date, etc.)
- Sources and References weights input quality across sources
See also
- Meeting Skills Family Contract
foundation-meeting-recap. upstream: primary input source/discover-interview-synthesis. sibling pattern for user-research conversations (different domain)
FAQ
What does the foundation-meeting-synthesize skill do?
Cross-meeting archaeology skill. Consumes multiple meeting recaps (or raw notes) over a period and surfaces patterns invisible in any single meeting. Shows how decisions evolved, who has been saying what, where threads are stalling, and where contradictions have emerged. Produces a plain-text timeline, themes with confidence markers, stakeholder position tracking, consolidated decision list, contradiction flags, open items, narrative summary, and prioritized follow-ups.
How do I install foundation-meeting-synthesize?
Run npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-meeting-synthesize 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-meeting-synthesize/ (personal) or .claude/skills/foundation-meeting-synthesize/ (project).
Which AI agents can use foundation-meeting-synthesize?
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-meeting-synthesize 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-meeting-synthesize?
It is published by product-on-purpose in product-on-purpose/pm-skills. It has 693 recorded installs.
More from product-on-purpose/pm-skills
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.
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.
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.
Popular productivity & automation skills
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.
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。