classify
Skill0 starsChanged 46 days agoMITView on GitHub
Cluster accumulated source records and unpromoted bookmarks bottom-up into scored candidate themes, without writing any hubs. Use when the user says /classify, "what themes are emerging", or wants to know if enough material exists to justify a synthesis note.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- synaptiai/agent-capability-standardtheir own version, first seen Nov 1, 2026
- norrietaylor/distillerytheir own version, first seen Nov 1, 2026
- InSciCo/i-frameworktheir own version, first seen Jul 13, 2026
- Colab8/rosetta-plugintheir own version, first seen Mar 24, 2026
- toneron2/agentic-platformtheir own version, first seen Jan 10, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- norrietaylor/distillery★ 25same name
- synaptiai/agent-capability-standard★ 6same name
- InSciCo/i-framework★ 4same name
- toneron2/agentic-platform★ 2same name
- Colab8/rosetta-plugin★ 0same 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 repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- consultSkill
- deepenSkill
- defuddleSkill
- knowSkill
- librarianSkill
- reviewSkill
- synthesizeSkill
- vault-installSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
0
Distinctive
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 24
Before clustering, check the corpus against the trigger in 00-meta/research-pipeline.md / the hypothesis doc:
- Very specific: line 31
If the user asks for a manifest anyway on a thin corpus, produce it, but mark every cluster's disposition as defer unless it clears the …
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Base directory for this skill: ./.claude/skills/classify
/classify — cluster accumulated captures, write nothing
This skill is provisional. It ships ahead of the corpus that would justify it, deliberately: the design evolves through use rather than waiting for a perfect corpus. Read 00-meta/research-pipeline.md for how this fits with /know, /deepen, /synthesize, and /review. If a step here produces bad output, misjudges a cluster, or fights the corpus, say so and propose a change to this file — do not silently work around it.
Contract (binding)
- Write nothing. This skill produces a manifest for the user's approval. No file is created, moved, or renamed by
/classifyitself. - Cluster by claims and content, not tags. Tags are facets; they cross-cut themes and are not reliable cluster signal.
- A capture may belong to several clusters. Say so rather than forcing single membership.
- Anchor stability. On re-run, previously approved clusters do not get dissolved by new material — new captures join or form new clusters. If re-running after ten new captures reshuffles approved clusters wholesale, the clustering is too sensitive; say so plainly rather than presenting churn as insight.
- Check ownership before proposing a new hub. Use the areas-vs-resources test from
conventions.md(areas are hubs, resources are leaves) and search40-areas/and50-resources/concepts/for an existing note that already owns the concept. If one exists, the disposition is "enrich that note," not "synthesize a new one."
Procedure
1. Check whether clustering is worth doing at all
Before clustering, check the corpus against the trigger in 00-meta/research-pipeline.md / the hypothesis doc:
grep -rhoE "processing: [a-z]+" ./50-resources/sources/*/*.md | sort | uniq -c- If no theme plausibly has 3+ source records (at least one
processedor later), and thecapturedbacklog is under ~15, say so directly: there isn't enough material yet, recommend more/knowand/deepeninstead of forcing a manifest. This is a legitimate output, not a failure to complete the task. - If the user asks for a manifest anyway on a thin corpus, produce it, but mark every cluster's disposition as
deferunless it clears the 3-source bar — do not stretch the threshold to make a manifest feel more substantial than it is.
2. Gather input
- Everything in
50-resources/sources/*/*.mdwithprocessingnotsynthesizedorarchived. - Everything in
60-bookmarks/*.mdwithout apromoted_tofield. - For each, read the frontmatter (
tags,topics,authors,source_type) and, where present, the## Claims and evidenceblock IDs and## Connectionstyped relations — these are the actual clustering signal, not the prose.
3. Cluster bottom-up
Group by shared claim content and stated relations (supports::/extends::/contradicts:: targets, shared topics: wikilinks), not by folder or tag co-occurrence alone. Name each cluster after clustering, not before — the label should come from what the items actually share, echoing the KJ/affinity method's card-sort-then-name order.
4. Score each cluster
For each cluster, in the migration-doc idiom:
- Transferability — does this generalize past the one source, or is it tied to one vendor's specific claim?
- Novelty — checked against
40-areas/and50-resources/concepts/: does an existing note already own this, partially or fully? - Durability — is this likely still true/useful in a year, or is it a snapshot of a fast-moving space?
- Evidence quality — pull from each source's own
## Source and evidence qualitysection rather than re-assessing from scratch.
5. Assign disposition
- Synthesize now — 3+ meaningful sources, no existing owner, evidence quality reasonable.
- Defer — real signal but thin (1–2 sources, or evidence quality weak). Say what would need to be true to promote it later.
- Duplicate / already covered — an existing
40-areas/or50-resources/concepts/note already owns this. Name it; recommend enriching it (a/deepen-connect-pass-style addition) instead of a new hub.
6. Present the manifest
A table: cluster name, member sources (with processing state), score summary, disposition, suggested destination (40-areas/<topic>/ new hub, 40-areas/<existing>/ enrichment, or 50-resources/concepts/<claim> if it's really one recurring claim rather than an organizing theme — never both for the same cluster).
Support merge, split, rename, and reject from the user in conversation. Once a cluster is approved, it is stable per the anchor-stability rule above — record approval by asking the user directly; there is no persisted "approved" flag in the vault, so treat the current conversation's approval as the authorization /synthesize needs to proceed on that cluster.
Report
- No
log.mdentry unless the user asks you to record the manifest somewhere durable (e.g., as a comment in00-meta/research-pipeline.md's running notes) — a bare classification pass changes no vault state. - Report the full manifest, the trigger-check result, and — if capture volume is far outrunning classification (many
captured/processed, no cluster reaching 3), say that plainly per the anti-collector's-fallacy stance the rest of this pipeline holds to.
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