# Narrative Framing

> Theory-driven reading tactic — define a theoretical framework first, then guide reading to fill it with evidence. Five stages (theme identification, argument construction, evidence collection, counter-evidence, synthesis). The most intellectually demanding tactic.

- Skill: `yogsoth-ai/narrative-framing-3` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/narrative-framing-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/narrative-framing-3/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/yogsoth-ai/narrative-framing-3

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# Narrative Framing

Define a theoretical framework first, then guide reading to fill it with evidence.

## Stages

1. **Theme identification** — from initial reading, identify 3-5 major themes
2. **Argument construction** — define the narrative arc (thesis → evidence → synthesis)
3. **Evidence collection** — targeted reading to support each theme
4. **Counter-evidence** — actively search for work that challenges the narrative
5. **Synthesis** — weave themes into coherent argument

## Available SOPs

- `paper-search` (import) — targeted reading for evidence
- `paper-research` (import) — deep reading of key supporting/opposing papers
- `thematic-coding` (subagent) — identify patterns across papers
- `web-research` (import) — blogs, opinion pieces, industry perspectives

## Execution Guidance

- This is the most "intellectual" tactic — requires judgment about what matters
- thematic-coding helps identify patterns across papers
- CC must actively seek counter-evidence (intellectual honesty)
- Output is not a list but a structured argument
- Themes should emerge from reading, not be imposed a priori