focused-fix
CommandDeep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix…
Route, extract, and validate a scraping job (URL or local file) via the universal-scraping-architect skill — refuses to deliver unvalidated data.
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code
disable-model-invocation: true name: cs-scrape description: Route, extract, and validate a scraping job (URL or local file) via the universal-scraping-architect skill — refuses to deliver unvalidated data. argument-hint: "<url-or-file-path> [desired output: csv|json|markdown]"
Run a gated extraction pipeline for `$ARGUMENTS` using `skills/universal-scraping-architect/SKILL.md`.
1. **Target stated?** If `$ARGUMENTS` is empty, ask for the URL or file path plus the desired output format — do not guess. 2. **Live-site etiquette:** for URLs, check `robots.txt` and plan rate limits; refuse disallowed targets. 3. **Privacy:** if the target is a local/sensitive file, do not send it to an external API — force Mode 2 (local Python). 4. **Secrets:** Firecrawl key only via `os.getenv('FIRECRAWL_API_KEY')`; if a key appears inline anywhere, fix that first.
1. **Route** — state the mode and why (per the skill's routing rules): Mode 1 Firecrawl (public/JS-heavy URL, bulk crawl) · Mode 2 local Python (local files, private data, simple static HTML) · Mode 3 hybrid (Firecrawl extract + pandas clean). 2. **Budget** — estimate API quota / token limits before multi-page jobs; add checkpointing + pagination. 3. **Extract** — start from the matching runner template (run from the plugin root; `--sample` previews the summary shape offline):
python3 ${CLAUDE_PLUGIN_ROOT}/skills/universal-scraping-architect/scripts/firecrawl_example.py --sample
python3 ${CLAUDE_PLUGIN_ROOT}/skills/universal-scraping-architect/scripts/local_bs4_example.py --sample4. **Validate (mandatory, exit-code gated):**
python3 ${CLAUDE_PLUGIN_ROOT}/skills/universal-scraping-architect/scripts/validate_extraction.py extracted_output.json --jsonThen check required fields and duplicates against the job spec. 5. **Deliver** — CSV (tabular) / JSON (nested) / Markdown (docs, chunked), per the user's requested format, with a summary of mode chosen, row counts, empty values, and the validation verdict.
411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix…
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