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Gather professional data: LinkedIn, GitHub, CliftonStrengths, CV/resume, portfolio.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | career-gather |
| description | Gather professional data: LinkedIn, GitHub, CliftonStrengths, CV/resume, portfolio. |
| compatibility | opencode |
| when_to_use | When the user wants to collect career data from external sources. |
| model | medium |
| user-invocable | false |
| hub-skill-ids | ["career-intelligence","data-gathering"] |
| allowed-tools | ["Bash","Read","Glob"] |
Collect professional data and index it into the ChromaDB knowledge base.
| Source | Script | Input |
|---|---|---|
scripts/gather/gather_linkedin.py | ZIP export from LinkedIn | |
| Portfolio | scripts/gather/gather_portfolio.py | Optional URL |
| CliftonStrengths | scripts/gather/gather_assessment.py | PDF from Gallup |
| CV/Resume | scripts/gather/gather_cv.py | .pdf, .md, or .txt file |
uv run python scripts/gather/gather_<source>.py <path>
get_knowledge_store()poppler-utils for PDF text extraction (pdftotext)Dual-model adversarial review: local and delegated reviewers audit independently, verdicts are synthesized.
Implement the SDD task list. Read tasks and design from memory, write code, run tests.
Archive all SDD artifacts for a change as a single completed record in memory.
Write the technical design for a planned change: components, interfaces, data flows, edge cases.
Explore the codebase to build context for a planned change. First phase of the SDD workflow.
Propose 2–3 solution approaches for a planned change, evaluating trade-offs and recommending one.