insight-extractor/SKILL.md
# Insight Extractor Skill Parse the built-in `/insights` report and extract actionable items into structured, trackable markdown files. ## What it does Reads `~/.claude/usage-data/report.html` (generated by `/insights`) and extracts: - **Action Items**: CLAUDE.md improvements, unfinished tasks, follow-ups - **Useful Prompts & Patterns**: Effective interaction strategies and copyable prompts - **Technical Learnings**: Debugging insights, friction patterns, what worked - **Workflow Improvements
npx skillsauth add glebis/claude-skills insight-extractorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Parse the built-in /insights report and extract actionable items into structured, trackable markdown files.
Reads ~/.claude/usage-data/report.html (generated by /insights) and extracts:
/insight-extractor
Extracts all categories, saves everything automatically using configured paths.
/insight-extractor --interactive
Walks through each category with AskUserQuestion -- cherry-pick items, set priorities, choose which automations get task files.
/insight-extractor --configure
Walk through settings via AskUserQuestion. Configures:
Research/Insights)Tasks/inbox, or disable)Daily)MoC - Insights.md, or disable)YYYYMMDD (compact) or YYYY-MM-DD (ISO)Settings saved to .claude/skills/insight-extractor/config.json.
/insight-extractor --no-machine
Run /insights first to generate the report. The extractor reads from:
~/.claude/usage-data/report.html (main report)~/.claude/usage-data/facets/ (structured JSON data)Research/Insights/YYYYMMDD-insights-{machine}.md with YAML frontmatter and 6 categorized sections.
Appends to today's Daily/YYYYMMDD.md under ## Insights or ## log.
Adds entry to MoC - Insights.md under ## Recent Insights.
For each automation candidate, creates Tasks/inbox/YYYYMMDD-automate-{slug}.md.
In --interactive mode, the skill uses AskUserQuestion at each stage:
Includes hostname in filename by default (2 machines, different session contexts). MoC groups by date across machines.
data-ai
--- name: disk-cleanup description: Scan and clean macOS caches, package-manager data, crash dumps, and app caches to reclaim disk space. Deterministic — a config registry (targets.json) plus two scripts (survey.py read-only, clean.py executor) do all the measuring and deleting; the agent only relays a compressed summary and makes the few human-judgment calls. IMPORTANT — use this skill whenever the user's request on macOS involves: freeing disk space, cleaning/clearing caches, "disk is full", "
development
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
development
--- name: agency-docs-updater description: End-to-end pipeline for publishing Claude Code lab meetings. Accepts optional args: date (YYYYMMDD, "yesterday", "today") and lab number (e.g. "04"). Examples: "yesterday 04", "20260420 05", "04" (today, lab 04), "" (today, auto-detect lab). --- # Agency Docs Updater Execute ALL steps automatically in sequence. Only pause if a step fails and cannot be recovered. Read `references/learnings.md` before starting for known pitfalls. **Configuration**: pat
tools
This skill should be used when applying proper typography to prose text or files in Russian, English, German, or French — smart quotes per locale («ёлочки», “curly”, „Gänsefüßchen“, « guillemets »), correct dashes (тире, em/en dash, Gedankenstrich, tiret), non-breaking spaces, ranges, ellipsis, and French espaces insécables before ! ? ; :. Fully deterministic via a pinned typograf-based CLI; never apply these rules by hand. Triggers on "типографика", "typograf", "оттипографь", "smart quotes", "fix typography", "неразрывные пробелы".