Borrowing it
Nothing to install: this file belongs to WomenDefiningAI/claudecode-writer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WomenDefiningAI/claudecode-writer/main/.claude/commands/extract-themes.mdgit clone --depth 1 https://github.com/WomenDefiningAI/claudecode-writerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/womendefiningai/claudecode-writer/extract-themes)<a href="https://agentmods.dev/commands/womendefiningai/claudecode-writer/extract-themes"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/extract-themes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/womendefiningai/claudecode-writer/extract-themes"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/extract-themes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00489 |
| Opus 5.5 | $0.00000 | $0.00196 |
| Sonnet 5.5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
extract-themes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract Themes Command
Use this command to analyze raw notes and identify coherent themes, patterns, and content opportunities.
Usage
/extract-themes
What This Command Does
- Analyzes all files in the
/rawnotesfolder - Identifies recurring themes and patterns across notes
- Connects disparate ideas into coherent narratives
- Surfaces the user's unique perspective and voice
- Creates structured content briefs ready for development
Process
- Note Discovery: Scan all files in
/rawnotesfor content and context - Pattern Recognition: Identify recurring topics, themes, and interests
- Connection Mapping: Link related ideas across different notes and timeframes
- Voice Analysis: Extract the user's distinctive perspective and angle on topics
- Narrative Threading: Weave scattered thoughts into coherent storylines
- Gap Identification: Find missing pieces needed to complete ideas
- Opportunity Spotting: Identify which themes are ready for full development
Output
Provides a structured theme analysis with:
- Core Themes: 3-5 main patterns identified across all notes
- Unique Angles: Your distinctive perspective on each theme
- Content Opportunities: Which themes are ready for article development
- Supporting Evidence: Quotes and insights from your raw notes
- Missing Pieces: What additional research or development each theme needs
- Platform Potential: How each theme could work across LinkedIn, newsletter, social
- Next Actions: Clear steps to develop themes into full content
Integration Points
The output is designed to feed directly into:
- LinkedIn Repurposing: Use
linkedin-repurposeragent on developed themes - Research Command: Feed theme briefs into
/researchfor deeper development - Writing Workflow: Use themes as starting points for
/writecommand
File Management
After completing the analysis, automatically save results to:
- File Location:
research/theme-analysis-[YYYY-MM-DD].md - File Format: Markdown with clear theme sections and actionable next steps
- Cross-Reference: Include links back to original raw note files
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 48 lines · 0 tokens per session scan A 02bb3705859d
extract-themes is a command published in the GitHub repository WomenDefiningAI/claudecode-writer (223 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 489 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
extract-themes compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| extract-themesWomenDefiningAI/claudecode-writer | Command | 223 | 1y ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |