compare
Skill2 starsChanged 6 days agoMITView on GitHub
Rank all the ideas evaluated with kill-my-idea in this project, from their verdict.json files, recommend which ONE to focus on this week, and write the idea dashboard (ideas/board.html) and the brain note (ideas/BRAIN.md). With --refresh, re-research stale verdicts before ranking. Use when the user says "compare my ideas", "which idea should I do", "rank my ideas", "what should I focus on", "refresh", "update the ranking", or has evaluated 2 or more ideas.
17 other projects use a version of this.
Adopted by
Most recently taken up by
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- synaptiai/agent-capability-standardtheir own version, first seen Nov 1, 2026
- Hainrixz/claude-seo-aitheir own version, first seen Nov 1, 2026
- ansvisor/ansvisortheir own version, first seen Nov 1, 2026
- TakaGoto/rag-learning-academytheir own version, first seen Oct 28, 2026
- adeerkhan/vitruviustheir own version, first seen Oct 20, 2026
Used with
Projects with it also use evaluate, create and 7 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkillevaluate
Scores existing Sports Intelligence AVLM inference outputs with avlm/evals: MCQ accuracy (run_mcq_eval.sh, INFERENCE_DIR), open-ended LLM-as-judge scores (needs CLIENT_API_KEY for the configured judge endpoint), tennis category breakdowns, run comparisons, chance-level sanity checks and triage of mcq_results.json or llm_judge_results.json. Use when the user asks to score, evaluate, benchmark or compare predictions.jsonl from inference runs, or to explain a suspicious accuracy. Not for running inference, training, quantization, data preparation, or third-party API model inference: never open, list or run anything under avlm/evals/inference_3rdparty, including when the user asks for it; it is excluded from the release.
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MicrosoftSkillcreate
Also in 3 projects that use this
aakash-dharSkilloptimize
Analyzes code for performance issues including slow algorithms, memory leaks, unnecessary re-renders, database query problems, and resource bottlenecks. Use when the user says "this is slow", "optimize this", "performance issue", "why is this taking so long?", or "make this faster".
Also in 4 projects that use this
AnthropicSkillanalyze
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Also in 3 projects that use this
OpenAISkillaudit
Audit or critique a product flow, journey, workflow, funnel, onboarding path, checkout path, settings path, screen, or multi-step product experience by capturing screenshots first, then reporting UX, design, and accessibility findings inline from that evidence. Use Figma only when the user explicitly asks for a board. Use when the user asks to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product experience.
Also in 6 projects that use this
MicrosoftSkillreport
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
Also in 3 projects that use this
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- ansvisor/ansvisor★ 233same name
- Hainrixz/claude-seo-ai★ 81same name
- TakaGoto/rag-learning-academy★ 24same name
- n24q02m/wet★ 23same name
- n24q02m/wet-mcp★ 23same name
- adeerkhan/vitruvius★ 10same name
- joyehuang/skills★ 9same name
7 more not listed
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.
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 2 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Find the verdicts: Read every ideas/*/verdict.json (and idea.json) in the current project.
- Very specific: line 32
Update verdict.json: evaluated = today, the metrics, sub-scores, score, rules, confidence, kill shots, rescue paths and sources.
- Very specific: line 37
Run python3 "${CLAUDE_PLUGIN_ROOT}/scripts/check-idea.py" ideas/<folder> when Bash is available, and fix every error.
- Very specific: line 46
Read the values from verdict.json: rescue[0], metrics.ltv_cac, metrics.break_even_customers_per_month, metrics.time_to_first_revenue_weeks, …
- Distinctive: line 51
Add a column per country when ideas target different markets.
- Very specific: line 54
Prefer a lower score with high confidence over a higher score with low confidence, and say so.
- Very specific: line 60
Read ideas/BRAIN.md when it exists: the user's Me profile (budget, time, goal) and the kill-shot patterns weigh in the choice.
- Very specific: line 73
Write ideas/board-data.js in the format below, ideas in ranking order.
- Very specific: line 77
Check it with python3 "${CLAUDE_PLUGIN_ROOT}/scripts/check-idea.py" --board ideas when Bash is available, and fix every error.
- Distinctive: line 112
Never put a value in the board that is not in the verdict or the idea brief.
“Common” is measured: kept by at least 6 in 10 of the 16 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
Compare Ideas
Options
--refresh(also when the user says "refresh" or "update the ranking"): re-research stale verdicts before ranking (step 2). Without it, compare only reads the verdicts. This option was requested by a user, so a ranking built on old research can be brought up to date in one command.--refresh all(or "refresh all of them"): refresh every verdict, stale or not.
Steps
- Find the verdicts. Read every
ideas/*/verdict.json(andidea.json) in the current project.- Fewer than 2 found → say so, and suggest
/kill-my-idea:kill. - A verdict whose
evaluateddate is more than 90 days before today is stale. Without--refresh, mark it and suggest/kill-my-idea:compare --refresh. - A verdict whose
confidence.levelislowis marked low confidence: its rank is provisional.
- Fewer than 2 found → say so, and suggest
- Refresh (only with
--refresh). For each stale verdict (or every verdict with--refresh all), one idea at a time or one subagent per idea:- Copy the current
mode,evaluated,score,verdictand source count into a new entry at the end ofverdict.history. - Rerun the kill skill's research steps 3–5 for that idea
(
${CLAUDE_PLUGIN_ROOT}/skills/kill/SKILL.md), with its safety rules (§0) and source minimums. Keepidea.jsonas it is; the user's answers still hold. - Update
verdict.json:evaluated= today, the metrics, sub-scores, score, rules, confidence, kill shots, rescue paths and sources. Keepmode. - Rewrite
report-data.json(kill skill §6) with the new verdict and narrative, includingpremortem,why_nowandicp, then rebuildreport.htmlwithpython3 "${CLAUDE_PLUGIN_ROOT}/scripts/build-report.py" ideas/<folder>. - Run
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/check-idea.py" ideas/<folder>when Bash is available, and fix every error. Tell the user which ideas were refreshed and how each score moved ("42 → 47").
- Copy the current
Build the ranking table. Sort by score, then by
time_to_first_revenue_weeks(the faster one wins), then by confidence (highbeforemediumbeforelow).# Idea Verdict Score Confidence Best rescue (score, difficulty) LTV : CAC Break-even Time to first revenue Primary kill shot Read the values from
verdict.json:rescue[0],metrics.ltv_cac,metrics.break_even_customers_per_month,metrics.time_to_first_revenue_weeks,primary_kill_shot. A missing metric isunknown, never a guess. Mark a score thatrules_appliedcapped ("69, capped: no channel"). Show the lasthistoryentry when a verdict changed ("42 → 47"). Add a column per country when ideas target different markets.- Decide like a co-founder:
- Focus on ONE idea this week, with the reason, its first action and a deadline.
Prefer a lower score with
highconfidence over a higher score withlowconfidence, and say so. - Pause: what to park, and why. A NO-GO with a
doablerescue path above 60 is a pause, not a kill. - Kill: NO-GOs that are still in
ideas/and should be archived. - Opportunity cost: what the focus idea beats the others on, in one line.
- Read
ideas/BRAIN.mdwhen it exists: the user's Me profile (budget, time, goal) and the kill-shot patterns weigh in the choice. - Save the focus as
ideas/focus.json, a strict JSON object:{"slug": "<verdict slug>", "why": "<one line>", "first_action": "<one action>", "deadline": "YYYY-MM-DD", "decided": "<today>"}. Each value is at most 300 characters.
- Focus on ONE idea this week, with the reason, its first action and a deadline.
Prefer a lower score with
- Write
ideas/RANKING.mdwith the table, the decision and today's date. - Write the dashboard and the brain. With Bash, run
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/build-brain.py" ideas, thenpython3 "${CLAUDE_PLUGIN_ROOT}/scripts/check-idea.py" --board ideas. The script computes everything from the verdicts andfocus.json:ideas/board-data.js, a fresh copy ofideas/board.html, and the generated block ofideas/BRAIN.md(focus, all ideas, what keeps killing your ideas, score changes, lessons). It keeps the Me section and the user's notes. Without Bash, do it by hand:- Write
ideas/board-data.jsin the format below, ideas in ranking order. - Copy the board page as-is. Never rewrite it.
With Bash:
cp "${CLAUDE_PLUGIN_ROOT}/skills/compare/board.html" ideas/board.html. Otherwise Read it and Write it unchanged. - Check it with
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/check-idea.py" --board ideaswhen Bash is available, and fix every error.
- Write
- Answer in chat with the table and the decision. Keep it short. Name the kill shot that
hit the most ideas, if it hit 2 or more. End with "Open
ideas/board.htmlin your browser. Your notes:ideas/BRAIN.md."
Without --refresh, do not re-research the ideas. Only compare what the verdicts contain.
Board data
build-brain.py writes this file; the format is here for the no-Bash case.
ideas/board-data.js is one statement, a strict JSON literal (double quotes, no functions,
no comments, no template literals), following
${CLAUDE_PLUGIN_ROOT}/skills/compare/board-data.schema.json:
window.KMI_BOARD = { "generated": "YYYY-MM-DD", "ideas": [ { "slug", "title", "verdict", "score", "confidence", "evaluated", "time_to_first_revenue_weeks" (number|null), "ltv_cac" (number|null), "primary_kill_shot" (string|null), "best_rescue": {"change","score_after","difficulty"}|null, "countries": [..], "report": "<folder>/report.html", "stale": bool } ] };| Field | From |
generated | today |
slug, verdict, score, evaluated, primary_kill_shot | verdict.json, copied exactly |
title, countries | idea.json (launch country first) |
confidence | verdict.confidence.level, or null for a legacy verdict |
time_to_first_revenue_weeks, ltv_cac | the metric's value when it is a number, else null |
best_rescue | rescue[0] with only change, score_after, difficulty, or null |
report | the idea's folder name + /report.html, relative to ideas/ |
stale | true when evaluated is more than 90 days before generated |
history (optional) | verdict.history + the current evaluation, as {evaluated, score}, oldest first, at most 10 |
hits (optional) | the verdict.kill_shots keys that are true |
top-level focus (optional) | the content of ideas/focus.json, or null |
top-level patterns (optional) | per kill shot: {kill_shot, hits, checked} counted over all ideas, most hits first |
top-level brain (optional) | true when ideas/BRAIN.md exists (shows a link to it) |
Never put a value in the board that is not in the verdict or the idea brief.
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