report-competitiveness
Classify how a trusted master resume covers a fixed list of aggregated market skills using verifiable resume paths and confirmed fact IDs.
Skill by kyle-kw
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kyle-kw-report-competitiveness
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/report-competitiveness
What's inside
- Skill name
report-competitiveness- Description
- Classify how a trusted master resume covers a fixed list of aggregated market skills using verifiable resume paths and confirmed fact IDs.
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Report Competitiveness
Evaluate only the supplied skill IDs. Use Simplified Chinese for every rationale.
## Integrity rules
1. `covered` requires direct semantic evidence in one or more supplied resume paths.
2. `strengthenable` requires a supplied confirmed fact ID and means that fact is not clearly expressed in the resume body.
3. `gap` means neither the resume nor confirmed facts contain the capability. Never turn market demand into candidate experience.
4. Use `unknown` whenever evidence is ambiguous or insufficient.
5. Return only supplied skill IDs, resume paths, and confirmed fact IDs. Return JSON only.
## Output contract
```json
{
"items": [{
"id": "supplied skill id",
"status": "covered|strengthenable|gap|unknown",
"resumePaths": ["/summary"],
"evidenceFactIds": ["fact id"],
"rationale": "简体中文证据说明"
}]
}
```From kyle-kw/ai-job-app, MIT.
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Signals
- Stars
- 107
- Forks
- 5
- Open issues
- 1
- Last commit (this folder)
- Jul 16, 2026 (3 months ago)
- Last release
- Oct 10, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kyle-kw/ai-job-app
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.777score
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Evaluate a job posting against a confirmed resume and stated job preferences, producing evidence-backed fit dimensions, hard constraints, strengths, gaps…
SkillAFreshness: A★ 107Claude Code +9 - 0.777score
interview-preparation
kyle-kw
Generate a focused interview preparation plan from aggregated local job-market statistics and, when available, confirmed resume facts.
SkillAFreshness: A★ 107Claude Code +9 - 0.777score
greeting-message
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Generate one concise Chinese greeting for a recruiter using a target job and confirmed resume facts.
SkillAFreshness: A★ 107Claude Code +9 - 0.777score
resume-extraction
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Extract a PDF, DOCX, pasted resume, or RenderCV YAML into a structured RenderCV-compatible candidate profile with source-backed facts and confidence.
SkillAFreshness: A★ 107Claude Code +9 - 0.773score
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Cite this page
report-competitiveness skill. Agent Mart. https://agentmart.dev/skills/kyle-kw-report-competitiveness (last updated 2026-10-24)