# Idea Lineage

> Traza la evolución de una idea en el brain: primera mención, mejor articulación, conceptos relacionados, reversales, contradicciones, ramas abandonadas y versión vigente.

Fuente: https://skillsagentes.com/skills/garrytan/gbrain/idea-lineage
Markdown: https://skillsagentes.com/skills/garrytan/gbrain/idea-lineage.md

Repositorio: https://github.com/garrytan/gbrain
Autor: garrytan
Licencia: MIT
Actualizado: hace 2 meses
Coste de contexto: 69 tok instalada, 2.2k tok al activarse, 2.4k tok con todos los archivos del bundle
Bundle: 2 archivos, 10 KB
Permisos que pide: search, query, get_page, list_pages, takes_search, find_contradictions, find_trajectory

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add garrytan/gbrain --skill idea-lineage --agent claude-code
# Cursor
npx -y skills add garrytan/gbrain --skill idea-lineage --agent cursor
# Codex
npx -y skills add garrytan/gbrain --skill idea-lineage --agent codex
# Gemini CLI
npx -y skills add garrytan/gbrain --skill idea-lineage --agent gemini
# Windsurf
npx -y skills add garrytan/gbrain --skill idea-lineage --agent windsurf
# Cline
npx -y skills add garrytan/gbrain --skill idea-lineage --agent cline
```

## Qué hace

- Traza la evolución de una idea a través del brain: primera mención, mejor articulación, versión vigente
- Clasifica evidencia en categorías: reversales, contradicciones, ramas abandonadas y conceptos relacionados
- Cita cada afirmación con slug de página, id de fuente, fecha y cita corta
- Marca huecos de evidencia como tal en vez de inventar narrativa plausible
- Funciona en modo solo lectura salvo que el usuario pida guardar una página

## Cuándo usarla

- El usuario pregunta cómo cambió su pensamiento sobre una idea, tema o frase concreta
- Quiere saber la versión actual vigente de una idea y de dónde vino
- Pide ver reversales o contradicciones en su pensamiento sobre algo puntual

## Cuándo no

- Para sintetizar o mapear muchos conceptos a la vez (usar concept-synthesis)
- Para trayectorias tipadas de una entidad como MRR, rol o estado (usar find_trajectory)
- Para lanzar sondas de contradicción costosas en vez de leer hallazgos cacheados

## Qué la activa

- "Traza el lineage de la idea de founder-led sales"
- "¿Cómo ha cambiado mi pensamiento sobre compounding trust?"
- "¿Cuál es mi versión actual de esta idea?"
- "¿De dónde vino esta idea y qué abandoné en el camino?"

## Antes de instalar

- Requiere acceso a las herramientas del brain: search, query, get_page, list_pages, takes_search, find_contradictions y find_trajectory.

## Archivos

- SKILL.md — 9 KB
- routing-eval.jsonl — 916 B

## SKILL.md

Reproducido tal cual desde garrytan/gbrain bajo MIT. Esta sección es el documento original y está en inglés.

# idea-lineage - Single-Idea Evolution Through the Brain

> **Convention:** see [conventions/quality.md](../conventions/quality.md) for
> citation rules, quote fidelity, and source-backed claims.
>
> **Boundary:** see [docs/takes-vs-facts.md](../../docs/takes-vs-facts.md) for
> the distinction between holder-attributed takes and the brain owner's hot
> facts. Do not collapse those layers when summarizing lineage.

## What this solves

Users often want to understand how one idea changed across time: when it first
appeared, when it became sharp, what it displaced, what it contradicted, and
what version is alive now. That is different from building a whole concept map
and different from charting an entity's metric trajectory.

Use this skill when the user asks about one idea, topic, phrase, or concept
page and wants its evolution through the brain.

Canonical examples:

- "Run idea lineage on founder-led sales."
- "How has my thinking about compounding trust changed?"
- "What is my current version of this idea?"
- "Where did this idea come from, and what did I abandon along the way?"

## What this is not

- Not `concept-synthesis`: that skill deduplicates many concept stubs, tiers
  them, writes concept pages, and builds a broad intellectual map.
- Not `find_trajectory`: that operation charts typed facts or event rows for
  an entity, such as MRR, role, location, or status over time.
- Not a contradiction-probe runner: this skill may read cached contradiction
  findings when available, but it does not launch expensive probes.
- Not a writing mode by default: do not write a lineage page unless the user
  explicitly asks for a saved artifact after seeing the read-only answer.

## Contract

This skill guarantees:

- A single-idea scope is preserved. Broad corpus or "map my concepts" prompts
  route to `skills/concept-synthesis/SKILL.md` instead.
- Every lineage claim cites existing brain evidence: page slug, source id when
  present, date, and short quote or snippet.
- Missing evidence is labeled as a gap, not patched with plausible narrative.
- Contradictions, reversals, and abandoned branches are separated from normal
  temporal evolution.
- The default mode is read-only and does not mutate brain pages.

## Phases

### Phase 1: Resolve the idea target

1. Restate the idea in one sentence.
2. Search for exact phrase variants with `search`.
3. Run one semantic `query` for the natural-language version.
4. Check `list_pages` for concept pages when the idea has an obvious concept
   slug or title.
5. If results point to an entity/metric/status trajectory rather than a concept,
   hand off to `find_trajectory` or the normal query/think trajectory path.

If multiple distinct ideas share the same phrase, ask the user to choose the
intended one before synthesizing.

### Phase 2: Gather evidence

Collect enough evidence to support or reject each output bucket:

- Search chunks with dates and source slugs.
- Full pages via `get_page` for the top relevant concept, note, transcript,
  meeting, article, or project pages.
- Related concept pages through backlinks, `related` frontmatter, or repeated
  co-occurrence in search results.
- Takes via `takes_search` when the idea appears as a belief, bet, hunch, or
  attributed claim.
- Cached contradiction findings via `find_contradictions` when the user asks
  about inconsistency or the search results show obvious conflict.
- `find_trajectory` only when the evidence is entity/attribute-shaped, such as
  a role/status/metric evolution that is relevant to the idea's story.

Prefer fewer high-quality sources over a long unsorted pile. Read full pages
when snippets imply a lineage milestone.

### Phase 3: Classify lineage moments

Classify evidence into these buckets:

1. **First mention** - earliest dated evidence where the idea appears.
2. **Best articulation** - the clearest or most complete expression, not
   necessarily the newest.
3. **Current live version** - the most recent high-authority version that still
   appears active.
4. **Reversals** - places where the user's stance changed direction.
5. **Contradictions** - claims that cannot both be true at the same time or
   under the same assumptions. Distinguish these from legitimate temporal
   supersession.
6. **Abandoned branches** - promising variants that appear and then disappear,
   lose support, or are explicitly rejected.
7. **Related concepts** - nearby ideas that shaped or inherited part of the
   original idea.

When a bucket has no evidence, write "No clear evidence found" with a brief note
about what was checked.

### Phase 4: Synthesize the lineage

Write the answer in the output format below. Keep the synthesis proportional to
the evidence. Do not overfit a smooth evolution if the evidence is sparse,
messy, or contradictory.

### Phase 5: Suggest optional next action

If useful, offer one concrete follow-up:

- Save the lineage as a brain page.
- Run broad `concept-synthesis` if the user actually wants the whole concept
  map refreshed.
- Run or inspect trajectory data if the idea turned out to depend on structured
  entity facts.
- Run a contradiction probe only when stale cached findings are insufficient
  and the user explicitly wants that heavier pass.

## Output Format

Use this shape for normal answers:

```markdown
## Current Live Version
[1-3 sentences. Include confidence: high / medium / low.]

## Lineage
- First mention: [date] - [claim] ([source-id:slug], "short quote")
- Best articulation: [date] - [claim] ([source-id:slug], "short quote")
- Turning point: [date] - [what changed] ([source-id:slug])

## Reversals and Contradictions
- Reversal: [what changed, with before/after evidence]
- Contradiction: [what conflicts, or "No clear evidence found"]

## Abandoned Branches
- [branch] - [why it appears abandoned, with evidence]

## Related Concepts
- [concept slug or title] - [relationship]

## Evidence Gaps
- [bucket or claim] - [what was checked and what is missing]
```

For short answers, collapse sections, but keep the same distinctions. Always
cite the source for each non-gap claim.

## Quality Rules

- Quote exact text when naming first mention or best articulation.
- Include dates when the source has dates. If no date is available, say
  "undated" rather than guessing.
- Treat the user's direct statements as highest authority for the user's own
  current view.
- Treat holder-attributed takes as beliefs by that holder, not automatically
  as facts about the world or the brain owner.
- Mark confidence low when evidence comes from a single weak snippet, an
  undated page, or a fuzzy semantic match.
- Preserve source ids in citations when search or page payloads include them.

## Anti-Patterns

- Running `concept-synthesis` for a single-idea question.
- Presenting an entity's MRR, ARR, role, or status trajectory as conceptual
  lineage without explaining the distinction.
- Treating normal temporal evolution as contradiction.
- Inventing abandoned branches because the story would be more interesting.
- Saving or rewriting brain pages without explicit user instruction.
- Using real names, companies, funds, or fork-specific examples in bundled
  fixtures or documentation.

## Related Skills and Operations

- `skills/concept-synthesis/SKILL.md` - broad mutating concept-map synthesis.
- `skills/query/SKILL.md` - general brain search and cited answers.
- `skills/brain-ops/SKILL.md` - source attribution and brain-first behavior.
- `find_trajectory` - structured typed-fact and event timelines for entities.
- `find_contradictions` - cached suspected contradiction findings.

## Tools Used

- `search` - keyword search for exact phrase variants and dated mentions.
- `query` - semantic search for conceptual matches.
- `get_page` - full context for candidate source pages.
- `list_pages` - concept-page discovery and scoped page enumeration.
- `takes_search` - holder-attributed beliefs, bets, hunches, and facts.
- `find_contradictions` - cached contradiction findings when relevant.
- `find_trajectory` - optional structured entity trajectory side-channel.

## Dónde encaja

- Categoría: [Investigación](https://skillsagentes.com/categorias/investigacion.md) — Investigación estructurada, búsqueda de fuentes y síntesis.
- Creador: [garrytan](https://skillsagentes.com/creators/garrytan.md) — 134 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Setup](https://skillsagentes.com/skills/garrytan/gbrain/setup.md): Configura GBrain con auto-aprovisionamiento de Supabase o PGLite, inyección en AGENTS.md y primera importación.
- [Maintain](https://skillsagentes.com/skills/garrytan/gbrain/maintain.md): Chequeos de salud del brain: aplicación de back-links, auditoría de citas, validación de filing, detección de info obsoleta, páginas huérfanas y benchmarks.
- [Schema Unify](https://skillsagentes.com/skills/garrytan/gbrain/schema-unify.md): Migra un brain de gbrain-base a la taxonomía de 14 tipos canónicos de gbrain-base-v2 usando gbrain onboard --check y el handler Minion unify-types.
- [Retrieval Reflex](https://skillsagentes.com/skills/garrytan/gbrain/retrieval-reflex.md): Cuándo y qué recuperar: abre la página del brain de una entidad relevante antes de responder desde memoria.
- [Minion Orchestrator](https://skillsagentes.com/skills/garrytan/gbrain/minion-orchestrator.md): Skill unificado de Minions para jobs deterministas de shell y orquestación de subagentes LLM: cola durable, observable y controlable, más la doctrina de ejecución durable para operaciones largas.

## Skills relacionadas

- [Query](https://skillsagentes.com/skills/garrytan/gbrain/query.md): Responde preguntas usando el conocimiento del brain con búsqueda en 3 capas, síntesis y propagación de citas; úsalo cuando el usuario pregunte, busque o necesite información del brain.
- [Reports](https://skillsagentes.com/skills/garrytan/gbrain/reports.md): Guarda y carga reportes con timestamp y routing por keyword; incluye el Actionability Gate que revisa enlaces rotos, muertos, indirectos o faltantes antes de entregar briefings o reportes.
- [Measure Before You Fix](https://skillsagentes.com/skills/garrytan/gbrain/measure-before-you-fix.md): Antes de arreglar una alerta de lentitud, stale o timeout, mide el paso tú mismo con un cronómetro en vez de un cambio de código: triage de operaciones basado en medición previa.
- [Minion Orchestrator](https://skillsagentes.com/skills/garrytan/gbrain/minion-orchestrator.md): Skill unificado de Minions para jobs deterministas de shell y orquestación de subagentes LLM: cola durable, observable y controlable, más la doctrina de ejecución durable para operaciones largas.
- [Meeting Ingestion](https://skillsagentes.com/skills/garrytan/gbrain/meeting-ingestion.md): Ingiere transcripciones de cualquier grabadora de reuniones en páginas del brain con enriquecimiento de asistentes, propagación de entidades y fusión de timeline, verificando sustancia y secuencia.

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