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Install in OpenClaw
/install career-spotlight-finder
Description
Use when wanting to discover hidden strengths, industry buzzwords, and career narratives from past projects, articles, or code — for resumes, self-introducti...
README (SKILL.md)
Career Spotlight Finder
Discover hidden strengths and career narratives from your past projects.
Pipeline
Init → Analyze → Position → Synthesize → Write Copy → Review
Quick Reference
| Step | Guide | Template |
|---|---|---|
| Init + Analyze | guides/input-collection-guide.md, guides/project-analysis-guide.md |
templates/project-analysis.md |
| Position | guides/domain-positioning-guide.md |
— |
| Synthesize | guides/narrative-synthesis-guide.md |
templates/aggregated-report.md |
| Write Copy | guides/copywriting-guide.md |
templates/copywriting-variants.md |
Output
~/.career-spotlight/
├── analyses/ # per-project analyses
├── report.md # aggregated career brand report
├── copies/ # resume-bullets, elevator-pitch, linkedin-summary, casual-intro
└── history/ # archived reports and prior copy
Step 0 — Init
Read guides/input-collection-guide.md Section 1 and follow its procedure to set up ~/.career-spotlight/.
Step 1 — Analyze
Read guides/input-collection-guide.md Sections 2-8 for the full procedure. Summary:
- Collect sources from the user (local paths, URLs, or
.docxfiles). - Validate and expand sources (auto-detect document collections in directories).
- Ask the user to set project priorities (
highlightorsupporting). - Check existing analyses for staleness (via git hash, file mtime, or URL age).
- Run new analyses per
guides/project-analysis-guide.md, write to~/.career-spotlight/analyses/.
Step 2 — Position
- Read
guides/domain-positioning-guide.mdand follow Sections 2-4. - Recommend one expert framing with a distinctiveness thesis. Keep alternatives as wrappers.
- Ask the user to confirm the framing before proceeding.
Step 3 — Synthesize
- Read all analyses from
~/.career-spotlight/analyses/. - Read
guides/narrative-synthesis-guide.mdand follow its methodology. - Archive any existing
report.mdto~/.career-spotlight/history/report-YYYY-MM-DDTHH-MM-SS.md. - Write the new report to
~/.career-spotlight/report.mdusingtemplates/aggregated-report.md.
Step 4 — Write Copy
- Read
~/.career-spotlight/report.md. - Read
guides/copywriting-guide.mdand follow its methodology. - Archive any existing files in
~/.career-spotlight/copies/tohistory/with timestamp suffix. - Write four files to
~/.career-spotlight/copies/usingtemplates/copywriting-variants.md:resume-bullets.mdelevator-pitch.mdlinkedin-summary.mdcasual-intro.md
Step 5 — Review
Present a summary: positioning statement, theme line count, top 3 hidden capabilities.
Then offer:
- Add more projects → Step 1
- Change domain direction → Step 2
- Adjust narrative emphasis → Step 3
- Regenerate copy variants → Step 4
- Accept and finish — remind the user their files are at
~/.career-spotlight/
Usage Guidance
What to consider before installing/running: 1) This skill will scan and read the project folders and documents you point it at and will create and write files under ~/.career-spotlight/ (analyses, report.md, copies/, history/). Do not point it at folders containing secrets, private keys, or sensitive data you don't want processed. 2) The registry metadata lists pandoc as a required binary but the README says pandoc is optional (fallback to python-docx). Install pandoc if you want robust .docx → markdown conversion, or ensure python-docx is available if you rely on the fallback. 3) The skill may fetch only the URLs you provide (WebFetch); avoid providing URLs that return private content you don't want downloaded. 4) Review the generated files after a run before sharing them externally. 5) If you are especially cautious, run the skill in a limited environment (container or VM) and grant it access only to the specific directories you want analyzed. 6) The skill claims "Everything stays local" and the instructions support that, but since this is instruction-only content from an external source, review the version on the linked repository (https://github.com/RealZST/career-spotlight-finder) if you need higher assurance that no external upload behavior has been added in later changes.
Capability Analysis
Type: OpenClaw Skill
Name: career-spotlight-finder
Version: 1.0.2
The career-spotlight-finder skill bundle is a comprehensive tool designed to analyze local code repositories, academic papers, and URLs to generate professional resumes and LinkedIn profiles. While the skill requires high-privilege tools such as Bash, WebFetch, and Write, its behavior is strictly aligned with its stated purpose, and it includes explicit security instructions in 'guides/input-collection-guide.md' and 'guides/project-analysis-guide.md' to treat external data as untrusted and avoid indirect prompt injection. No evidence of data exfiltration, malicious execution, or obfuscation was found; all outputs are stored locally in '~/.career-spotlight/'.
Capability Assessment
Purpose & Capability
The skill's name, description, and runtime instructions consistently describe analyzing local projects, documents, and URLs to produce a local report and copy; the requested capabilities (read, glob, grep, bash, write, WebFetch) fit that purpose. One mismatch: SKILL.md / registry metadata lists pandoc as an 'anyBins' requirement (effectively required), but README and the guides state pandoc is optional with a fallback to python-docx. That inconsistency could cause false expectations about availability of conversion tools.
Instruction Scope
The SKILL.md and included guides explicitly instruct the agent to read user-provided local paths, repo files, converted .docx content, saved analyses in ~/.career-spotlight/, and to fetch only user-supplied URLs. This scope matches the stated purpose, but it does involve broad local file reads (project trees, config files, and metadata such as git hashes and mtimes) and will write files under ~/.career-spotlight/. The guides include explicit skip lists (e.g., .env, node_modules, .git) and caution about treating fetched web content as untrusted, which mitigates some concerns.
Install Mechanism
This is instruction-only with no install spec and no code files to execute from a downloaded archive. That is the lowest-risk install model.
Credentials
The skill declares no required environment variables or credentials. It optionally lists pandoc as an external binary. There are no requests for unrelated cloud credentials or sensitive tokens.
Persistence & Privilege
The skill does write and maintain a local workspace (~/.career-spotlight/) and archives prior reports, which is consistent with its function. It is not force-enabled (always: false) and does not request elevated or cross-skill configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install career-spotlight-finder - After installation, invoke the skill by name or use
/career-spotlight-finder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Added detailed user and implementation guide: guides/input-collection-guide.md.
- All steps for input collection and analysis now reference this new guide for consistent procedures.
- Changelog focuses on improved onboarding and source validation through structured documentation.
v1.0.1
No changes detected from previous version.
- Version bump only; no file changes in this release.
v1.0.0
Career Spotlight Finder v1.0.0 — Initial Release
- Launches a skill for uncovering hidden strengths, industry buzzwords, and personal branding narratives from past projects, articles, or code.
- Guides users through initializing a local career profile directory, collecting and validating diverse project sources (local paths, URLs, docx files), and analyzing them for career value.
- Supports priority tagging of projects (highlight/supporting) to tailor narrative emphasis.
- Handles directories intelligently: distinguishes between single projects and document collections.
- Checks for existing or out-of-date analyses, ensuring results reflect up-to-date material.
- Stores all analyses and outputs locally for privacy and easy reuse in resumes and self-introductions.
Metadata
Frequently Asked Questions
What is Career Spotlight Finder?
Use when wanting to discover hidden strengths, industry buzzwords, and career narratives from past projects, articles, or code — for resumes, self-introducti... It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.
How do I install Career Spotlight Finder?
Run "/install career-spotlight-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Career Spotlight Finder free?
Yes, Career Spotlight Finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Career Spotlight Finder support?
Career Spotlight Finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Career Spotlight Finder?
It is built and maintained by RealZST (@realzst); the current version is v1.0.2.
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