القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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]