affinity
Skill2 starsChanged 48 days agoMITView on GitHub
Cluster Signals into product-specific themes (affinity diagram) via their `affinity:` frontmatter; never moves locked signals, only suggests. Use on /affinity or when grouping signals by theme.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- aboalrejalai/affinity-mcptheir own version, first seen Nov 8, 2026
- jablonkai/skillstheir own version, first seen Oct 1, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- aboalrejalai/affinity-mcp★ 2same name
- jablonkai/skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- ai-personaSkill
- analytics-syncSkill
- backlogSkill
- catalogSkill
- cold-startSkill
- contradictionsSkill
- demo-dataSkill
- dovetail-syncSkill
- exportSkill
- extract-findingsSkill
- feature-panelSkill
- forget-participantSkill
- graph-lintSkill
- interview-guideSkill
- journey-mapSkill
- opportunity-treeSkill
- persona-avatarSkill
- persona-querySkill
- persona-talkSkill
- persona-voiceSkill
- persona-workshopSkill
- prdSkill
- prioritizeSkill
- researcherSkill
- retentionSkill
- source-syncSkill
- subject-accessSkill
- welcomeSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 19
Do not reuse a fixed taxonomy.
- Distinctive: line 29
Leave it exactly where it is.
- Distinctive: line 30
If the data suggests it belongs elsewhere, say so in your report as a *suggestion* ("Signal *X* reads more like *Group Y* — want me to move …
- Very specific: line 37
Read Product Context.md + every Signals/*.md (use the transcript scan headers / signal quotes.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
affinity — Signal affinity diagram
Cluster the project's Signals/ into a handful of product-specific thematic groups — the affinity-diagram step of research synthesis. The grouping is written into each signal's frontmatter (affinity: '<group>'), so the browser app renders it as an editable board and every claim stays traceable.
Trigger
/affinity ← group all signals (first run) or re-group the unlocked ones
/affinity --suggest ← propose changes only; write nothingThe groups are dynamic — derive them from THIS product
Do not reuse a fixed taxonomy. Read Product Context.md and the signals, then invent groups that fit the product:
- a music streaming service → Recommendations & algorithm, Library & finding music, Playback experience, Pricing & value, Competition & switching, Accounts & sharing, Input & accessibility, Social & identity …
- a car maker → by vehicle segment, customer type (fleet / sole-trader / private), ownership stage …
- a B2B SaaS → by job-to-be-done, team role, lifecycle stage …
Aim for 5–9 groups: enough to separate real themes, few enough to stay legible. A theme with one lonely signal is usually a sub-point of a bigger one — fold it in unless it's genuinely distinct.
The hard rule — never overwrite human curation
Each signal may carry affinity_lock: true. That means a human placed it (via the app's Edit mode or by hand). You must not change affinity: on a locked signal. Instead:
- Leave it exactly where it is.
- If the data suggests it belongs elsewhere, say so in your report as a suggestion ("Signal X reads more like Group Y — want me to move it?"), and act only if the user agrees.
- Locked signals still inform what the groups ARE — read them, just don't move them.
Unlocked signals (no affinity_lock, or false) are yours to (re)assign freely.
Workflow
- Read
Product Context.md+ everySignals/*.md(use the transcript scan headers / signal quotes; don't re-read transcripts). - Decide the group set (respecting the themes locked signals already anchor).
- For each unlocked signal, set
affinity: '<group>'in its frontmatter (one group per signal). Leaveaffinity_lockabsent — the app adds it only when a human curates. - Report: the group list with counts, which signals moved, and any suggestions for locked signals you'd have placed differently (never applied).
- First run (no signal has
affinity:yet) is fully automatic — assign them all. The app also shows a provisional by-tag grouping until this runs.
Rules
- One signal, one group —
affinityis a single value, not a list. - Group names are short human phrases, product-specific, not tag slugs.
- This never creates or deletes Signals, and never touches anything but the
affinity:line of unlocked ones. - Contradiction-safe: two signals that disagree can share a group (the group is a theme, not a conclusion) — grouping is not synthesis; Correlations remain where you reconcile them.
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