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Fact-checking and quality review of texts. [WHAT] Verifies claims, checks sources, identifies style issues. Can be used standalone or piped after /chronicle. [WHEN] Use when: fact-check, verify, check, quality check. [EXPERTISE] Fact-checking, source verification, style review.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Academic work with scientific rigor — covers literature search, source evaluation, and writing. Configurable language. [WHAT] End-to-end support: (1) systematic literature search and source evaluation, (2) thematic synthesis, (3) writing essays, papers, reports, dissertations, literature reviews, method discussions. IMRAD structure, Harvard/APA, peer review. [WHEN] Use when: academic, scientific, essay, report, dissertation, literature review, paper, thesis, doctoral, peer-reviewed, systematic review, find sources, zotero, Harvard reference, APA, IMRAD, source criticism, literature review, research synthesis. NOT for: opponent role (academic-opponent), interview coding (gioia-analysis). [LANGUAGE] Configurable. Matches input. [EXPERTISE] Academic writing, IMRAD, source criticism, systematic literature search, Harvard/APA citations, thematic synthesis, qualitative/quantitative methods.
Weekly dual-memory flow: review project auto-memory (inbox) and promote to global memory, keep as ephemeral, or delete. Addresses the dual-memory tension in a layered memory system. [VAD] Structured walkthrough of `~/.claude/projects/.../memory/`. Classifies each entry as promote/keep/delete based on type and stability. Writes promotions to global memory. Writes a review report. [WHEN] Use when: promote memory, dual-memory, weekly memory review, memory promotion, review project memory, "is this memory stable?", "should this go global?", inbox cleanup of memory. [LANGUAGE] Configurable. [EXPERTISE] Memory architecture, ephemeral-vs-persistent classification, three-criteria evaluation (recurrence, generality, stability).
Aphorism database for citable lines. Distinguishes between user aphorisms (own, go to TELOS WISDOM.md) and external aphorisms (from other authors, go to a separate aphorism database). Supports search, categorisation, citation format, and retrieval for chronicles/scripts. [WHAT] Quote database where each aphorism has: text, author, source, domain tag, captured-on date. User-own aphorisms go to `~/.claude/memory/USER/TELOS/WISDOM.md`, external ones to `~/.claude/memory/KNOWLEDGE/Sources/aphorisms.md`. [WHEN] Use when: aphorism, quote, citable, "save this line", quotable, wisdom-quote, "who said X", find a quote about Y, "add to the quote database". Auto-activates after writing/editing if a line stands out. [LANGUAGE] Configurable. [EXPERTISE] Aphorism curation, quote attribution, citation format, retrieval.
Audio pipeline: transcription (Whisper), TTS (ElevenLabs), audio extraction (ffmpeg), and YouTube transcript via MCP. [WHAT] Audio skill for transcribe, TTS, voice-over, podcast workflow. Whisper for transcription (default OpenAI Whisper, configurable per-language), ElevenLabs for TTS, ffmpeg for extraction, YouTube-transcript MCP for video. [WHEN] Use when: transcribe, audio, TTS, voice-over, podcast, YouTube transcript, generate speech, read aloud, dictation audio, mp3, wav, m4a. [LANGUAGE] Configurable. TTS voice configurable per project.
Umbrella skill for reading a text artefact (chronicle, memo, report, transcript) and extracting candidates to the Ogmios KNOWLEDGE area in one operation. Classifies into 7 entity types: People, Organizations, Places, Events, Concepts, Sources, Research. The user chooses per candidate: create KNOWLEDGE node / archive to vault / skip / save in _inbox. [WHAT] Complement to atomize-zettel (Cards/Zettelkasten in vault). Atomize works against vault Cards/, extract-entities works against the Ogmios KNOWLEDGE area. [WHEN] Use when: extract entities, identify people/organizations/places, who is mentioned in this text, mining from text to KNOWLEDGE. [LANGUAGE] Configurable. [EXPERTISE] Entity extraction, NER classification, KNOWLEDGE-area routing.
Image generation and image editing. Two engines: GPT-Image-1 (OpenAI) and Gemini Nano Banana Pro (Google). Seven prioritised workflows: blog cover, presentation illustration, concept sketch, geopolitical map, meme/satirical image, infographic prompt, image edit/inpainting. [WHAT] Image skill via `~/.claude/scripts/call-image-api`. Default: Nano Banana Pro for photorealism and maps, GPT-Image-1 for precision edits and text-in-image. Output saves to a configured pictures path. [WHEN] Use when: generate image, illustration, AI image, cover image, presentation image, infographic, image edit/inpainting.
| name | fact-check |
| description | Fact-checking and quality review of texts. [WHAT] Verifies claims, checks sources, identifies style issues. Can be used standalone or piped after /chronicle. [WHEN] Use when: fact-check, verify, check, quality check. [EXPERTISE] Fact-checking, source verification, style review. |
| argument-hint | ["file or URL"] |
| context | fork |
| allowed-tools | Read, WebSearch, WebFetch, Grep, Glob, Task |
Review: $ARGUMENTS
Review text for:
List all verifiable factual claims in the text:
For every claim:
Review the reference list:
Check for common AI patterns:
Produce the review report:
## Review Report
**Text:** [Title]
**Date:** [YYYY-MM-DD]
### Fact-check
| Claim | Status | Comment |
|-------|--------|---------|
| ... | ✅/⚠️/❌ | ... |
### Corrections needed
1. [Specific correction with source]
### Source quality
- [Assessment]
### Style observations
- [Any issues]
### Recommendation
[ ] APPROVED for publication
[ ] CORRECTIONS REQUIRED (see above)
When /fact-check runs after /chronicle:
For extensive fact-checking, delegate to a research agent:
"Verify the following claims from a text:
[list of claims]
MAX: 5 web searches
RETURN: verification status for each claim with source"
🎯 COMPLETED: [SKILL:fact-check] [Fact-check completed] 🗣️ CUSTOM COMPLETED: [SKILL:fact-check] [Review done]