evaluate
Skill3 starsChanged 52 days agoMITView on GitHub
Use this skill when the candidate wants to evaluate a role, a job description, or a company — e.g. "should I apply to this?", "evaluate this role at Writer", "decode this JD", "research this company", "compare these three roles". Produces one combined verdict from JD decoding + company research, persists the analyses, and records the verdict in the pipeline record (jobs.md).
25 other projects use a version of this.
Adopted by
Most recently taken up by
- yuryalencar/ai-skillstheir own version, first seen Nov 8, 2026
- NVIDIA/sports-intelligence-playbookstheir own version, first seen Nov 8, 2026
- codicis-ai/taskplextheir own version, first seen Nov 8, 2026
- mblauberg/provenanttheir own version, first seen Nov 8, 2026
- cooneycw/claude-power-packtheir own version, first seen Nov 7, 2026
- harness-mini/harness-minitheir own version, first seen Nov 1, 2026
Used with
Projects with it also use compare, triage and 5 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.
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Structured comparison of 2+ alternatives with consistent criteria and decision matrix
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Draft a TDD, PRD, or lightweight plan in the conversation without committing it.
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SentrySkillreview
Fixture review skill.
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NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 3 projects that use this
VercelSkillsetup
Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".
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Other versions25 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 25
- Q00/ouroboros★ 6.3ksame name
- suboss87/FDEOps★ 940same name
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
- careerhackeralex/visualize★ 219same name
- NVIDIA/sports-intelligence-playbooks★ 86same name
- skillberry-ai/cap-evolve★ 69same name
- jantichy/claude★ 45same name
- junjiezhou1122/ideascientist-claude-code★ 35same name
- iamneilroberts/claude-skills★ 26same name
15 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
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 24 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 53
Exits: when batch is scored and candidate selects roles for full graduation.
- Very specific: line 60
Session close: Run ../profile/scripts/check_files.mjs --workspace ..
- Distinctive: line 65
Never synthesize uncertain sources into confident claims.
“Common” is measured: kept by at least 6 in 10 of the 24 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
Evaluate — role + company, one verdict
Goal
One decision-ready verdict per role — JD decoding combined with company research into an actionable tier. The candidate decides whether to apply; you provide the odds. Scored by references/eval.md.
| Must be true | Where |
Verdict recorded in jobs.md via script with exact company + title strings | jobs.md |
| Track assigned first and named in verdict, row, and analysis header | all three |
| Hard dealbreakers dismissed immediately with quoted reason before research spend | jobs.md (dq: <reason>) |
| JD decode on file (lenses, confidence labels, competencies, 5-dim fit) | jd-analysis/<key>.md |
| Company brief on file (tiered claims, dated, knowledge gaps noted) | company/<slug>.md |
Cheap tier stamped quick-scan: and graduations note prior score | jobs.md reason · chat |
| Summary card delivered in reply | reply |
Prerequisites
- Required: Workspace
CLAUDE.md(none → profile's Setup); JD or company name. - Optional:
profile.md+criteria.md(grounds fit scoring),storybank.md(competency evidence),company/<slug>.md(cached research).
Sequences
Decoding lenses, fit algebra, and company research craft live in references/patterns.md. Verdict tiers in references/eval.md.
Full evaluation (a sequence)
Runs when candidate asks about a role or company, or other skills route for a missing analysis.
- Near-match check: Match against existing
jobs.mdrows before creating duplicates. - Dealbreaker gate: Evaluate against
criteria.md § Dealbreakers/§ Compensation/§ Geo. Hard hit $\rightarrow$ record the DQ immediately (no row yet → create it first; exact commands inreferences/patterns.mdstep 2, "Dealbreakers") and stop before research spend. - Track assignment: Assign track from
criteria.md § Targetsbefore judging. - Company research & Decode: Research company signals and decode JD across the 6 lenses (
references/patterns.md). - Verdict & Record: Combine into final verdict tier — Strong Fit (
strong) / Investable Stretch (investable_stretch) / Long-Shot Stretch (long_shot) / Weak Fit (weak). Record viascripts/record_verdict.mjs --verdict <value>. - Deliver summary card: Present the evaluation card in chat (
references/schema.md § The summary card).
Exits with jobs.md row updated, analyses persisted to disk, and summary card delivered.
Quick-scan tier (a sequence)
Runs when high volume calls for a lightweight screening pass (batch triage, pipeline over cap).
- Run Dealbreaker gate.
- Decode fit against
criteria.md+profile.mdonly (skip company research file and full jd-analysis file). - Record verdict with
quick-scan:prefix injobs.mdReason field. - Graduate selected roles to full evaluation before human investment, noting previous score.
Exits when batch is scored and candidate selects roles for full graduation.
State
Owned: jd-analysis/ and company/ (shapes in references/schema.md).
- Hands back: Strong verdict →
apply; interview booked →interview; competency extractions →storybank. - Session close: Run
../profile/scripts/check_files.mjs --workspace .. No checker-subagent is spawned (analyst voice). Report outcomes, never narration (clean is 1 line; fix FAILs before reply ends).
Guardrails
- Honest verdicts based on evidence, never cheerleading or artificial pessimism.
- Never synthesize uncertain sources into confident claims; conflicting data is explicitly presented.
Every reply ends with ONE contextual next step — a sentence with its why, not a menu.
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Your trail
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