skill-gap
Skill6 starsChanged 2 months agoMITView on GitHub
Audit recent agent work for recurring manual patterns that have no skill yet, cross-check against installed skills and public skill catalogs (installing beats building), and propose the top two or three as before/after. Read-only analysis. Triggers: "/skill-gap", "what skills should I build", "audit my skills".
1 other project uses a version of this.
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Most recently taken up by
- snuffish/dotfilestheir own version, first seen Nov 1, 2026
Other versions1 project uses a version of this.
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- snuffish/dotfiles★ 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 repository100 other files it gives its agents.
- AGENTS.mdAGENTS.md
- 03Skill
- 1Skill
- agendaSkill
- alfa-search-recall-deepresearchSkill
- alpha-judgeSkill
- alpha-reviewSkill
- archSkill
- askSkill
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- canon-revisionSkill
- ccSkill
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- chatSkill
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- coachSkill
- codex-mirrorSkill
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- commentsSkill
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- episodeSkill
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- faSkill
- fb-postSkill
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- fb-watchSkill
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- fireflies-syncSkill
- five-hardSkill
- fleetSkill
- follower-onboardSkill
- geminiSkill
- gitbook-importSkill
- gmailSkill
- granola-syncSkill
- handoffSkill
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- inboxSkill
- intakeSkill
- intentionSkill
- introSkill
- issue-matchSkill
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- last30daysSkill
- local-chatgpt-token-healSkill
- mcpSkill
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- n8nSkill
- The first 60 shown.
The file
Files
/skill-gap — what skill should we build next?
🧒 When reporting to a non-technical operator, end with a child-simple "In plain words" recap in their language. (memory
eli5-always)
Finds the gap between what the operator DOES (recurring manual work across sessions) and what they HAVE (installed skills), and proposes the highest value × frequency new skills. Read-only; proposes, never auto-builds. Mirror of [[evaluate-recurring-into-routine]] (that catches one task → routine; this scans the whole fleet of sessions → skill gaps).
Method (token-cheap — cheap tools first, [[vault-data-architecture]])
- The week's agenda (≈0 tokens):
mcp__ccd_session_mgmt__list_sessions(limit ~60) — session TITLES are the agenda; cluster them by theme. Don't read every transcript; use titles + memory. (Full-textsearch_session_transcriptsneeds the operator's approval — only if a cluster is ambiguous.) ⚠️ This only sees THIS machine's sessions; with the cross-machine relay live ([[machine-migration]], skillinbox) a pattern from another computer is invisible here — note the current-machine label and don't assume the gap is global. - What's already built: the installed skills (the Skill tool list) + on-disk
$USERPROFILE/.claude/skills/*\SKILL.md. Also note scheduled routines that have NO manual skill twin. - Cross-map: for each session cluster, is there a skill that covers it? RECALL memory ([[machine-migration]], [[n8n-stack]], [[notebooklm-integration]], etc.) so you don't propose something a neighboring session already built — this is the #1 trap (a parallel session, INCLUDING one on another machine, may have shipped it; check
/inbox/ the relay). - Rank gaps by value × repeat: how many sessions touched it? does it hurt now? is the infra already there (→ thin wrapper, cheap to build)? Flag ⚠️ ADDED COMPLEXITY for anything heavy ([[ak47-simplicity]]).
Output
- A ranked table: gap · where it showed up (which sessions) · score (HIGH/MED/LOW) · is the infra already there.
- Top 2-3 as BEFORE→AFTER on real data ([[show-before-after]]).
- Refresh the dashboard:
$OBSIDIAN_VAULT/_Dashboards/Skill-Gap-Audit.html(the operator works by eye, [[prefer-visual-dashboards]]). - Then 🧒 recap. End by asking which to build (their "+" = go).
Daily routine
Scheduled twin skill-gap-daily runs this read-only and updates the dashboard + drops a one-line note if a NEW gap appeared since yesterday (don't nag if nothing changed). Grunt drafting → Sonnet; the judgment/ranking → keep on the session model ([[model-routing-sonnet-grunt]]).
<!--kit-footer-->Like this skill? It is one of 100 in second-brain-starter-kit: the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with npx skills add tonydzi/second-brain-starter-kit. Everything is open source and free, so take what you need.
Flagships worth a look on their own: secondop-panel (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).
Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @Tony_Stef_
Engineers: want to test-drive this setup? Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.
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