算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
foundation-meeting-synthesize【设计与创意】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 posi…
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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.
foundation-meeting-recap instead.foundation-stakeholder-update.discover-interview-synthesis.Per the family contract, this skill never blocks on interrogation. Default flow:
go or correctionsIf invoked with --go, skip the inference summary. Format hints (board-prep, onboarding, retro-input, exec-brief) control output presentation without changing the underlying process.
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_quality if available; otherwise assess from content).
Metadata source tracking (v1.1.0): for each recap, also note the meeting_type_source field (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 by meeting_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:
⚠ emphasis.⚠ visual emphasis. For each:
The distinction matters because v1.0.0 conflated them, creating false-positive "contradictions" in exec contexts where the "contradiction" was actually intentional scope evolution.
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
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 onlyRender TEMPLATE.md and validate
source_meetings list is non-emptytime_range.start ≤ time_range.endActive only when .claude/pm-skills.local.md exists. With no file, ignore this section entirely
and behave exactly as described above.
active_initiative and prior interpretation artifacts on the same topic, so the synthesis shows movement rather than restating what is already recorded.interpretation artifact.memory_auto_append: true is set, in which case append and echo what was written.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.
foundation-meeting-recap. upstream: primary input source/discover-interview-synthesis. sibling pattern for user-research conversations (different domain)