compare
Skill501 starsChanged 7 months agoMITView on GitHub
Compare multiple job opportunities side by side. See scores, compensation, pros/cons, and a recommendation. Use when someone says 'compare my options', 'which job should I take', 'rank my opportunities', or 'compare these roles'.
16 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 create, optimize and 4 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.
MicrosoftSkillcreate
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MicrosoftSkillreport
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Other versions16 projects use a version of this.
Word for word · 1
Edited · 0
None found.
Wrote their own version · 15
- 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
- yarikleto/claude-teacher-plugin★ 9same name
- synaptiai/agent-capability-standard★ 6same name
5 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
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
4
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
- Very specific: line 17
Read all files in data/evaluations/.
- Distinctive: line 22
If user specified companies/roles: match to evaluations (fuzzy OK)
- Distinctive: line 23
If "compare my top options" or no argument: select top 3-5 by score with non-terminal status (Evaluated, Resume Ready, Applied, Interview)
- Distinctive: line 25
If fewer than 2 evaluations exist:
- Distinctive: line 78
If scores are very close (within 0.3), say so:
“Common” is measured: kept by at least 6 in 10 of the 14 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 Opportunities
Side-by-side comparison of evaluated job opportunities.
Step 0: Load Evaluations
Read all files in data/evaluations/. Parse the scores, archetype, company,
role, location, and compensation from each.
Step 1: Select Opportunities
- If user specified companies/roles: match to evaluations (fuzzy OK)
- If "compare my top options" or no argument: select top 3-5 by score with non-terminal status (Evaluated, Resume Ready, Applied, Interview)
- If fewer than 2 evaluations exist:
"You need at least 2 evaluated jobs to compare. Evaluate more postings first by pasting a JD."
Step 2: Comparison Table
## Opportunity Comparison
| Dimension | {Company A: Role} | {Company B: Role} | {Company C: Role} |
|---|---|---|---|
| **Score** | {X.X}/5.0 | {X.X}/5.0 | {X.X}/5.0 |
| **Archetype** | {type} | {type} | {type} |
| **Seniority** | {level} | {level} | {level} |
| **Location** | {loc} | {loc} | {loc} |
| **Compensation** | {range or "Not disclosed"} | {range} | {range} |
| **Strongest match** | {top requirement match} | ... | ... |
| **Biggest gap** | {main risk} | ... | ... |
| **Status** | {current status} | ... | ... |Step 3: Pros and Cons
For each opportunity, list 3 specific pros and 2 specific cons. These must reference actual evaluation data, not generic statements.
### {Company A} - {Role}
**Pros:**
- {specific strength from Block B match}
- {compensation/location advantage}
- {career trajectory fit}
**Cons:**
- {specific gap or risk}
- {concern from evaluation}Step 4: Recommendation
## My Recommendation
**Best overall match:** {Company - Role} ({score}/5.0)
{2-3 sentences: why this one stands out, what makes it the strongest fit}
**Best growth opportunity:** {Company - Role}
{1-2 sentences: highest upside if you can close the gaps}
**Safest option:** {Company - Role}
{1-2 sentences: most likely to result in an offer}If scores are very close (within 0.3), say so:
"These are genuinely close. The tiebreaker is which company and role excites you most. Numbers can't measure that."
Step 5: Next Steps
"Want me to:
- Tailor a resume for your top pick? Say 'tailor my resume for {company}'
- Research any of these companies deeper? Say 'research {company}'
- Evaluate more options? Paste another job posting"
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