wiki-ingest
SolidUse when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.
AI & Automation 123 stars
18 forks Updated 3 days ago MIT
Install
Quality Score: 83/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# Wiki Ingest
<skill_contract>
<input>Accessible PDF, URL, transcript, clipping, or note plus vault root, topic, provenance, permissions, and lifecycle context.</input>
<output>Immutable source evidence, linked concept and entity updates, navigation and lifecycle changes, and a verified ingest receipt.</output>
<done>Touched files pass source, link, block-ref, frontmatter, lifecycle, understanding, and read-after-write checks.</done>
<non_goals>Fabricated provenance, source mutation, raw-summary dumping, unsupported rule promotion, or unverified completion.</non_goals>
Use STOW: **Source -> Transform -> Organize -> Write-back**. The source is evidence, the concept page is current understanding, and the log is the receipt. Load `references/stow-contract.md` for schemas and lifecycle details.
## Usage Template
Provide: source path/URL/note, vault root, intended topic, permissions, and whether the item came from a clipping queue. Optional: path config, prior canonical source, and desired behavior/skill candidate.
## Workflow
<intake>
1. Verify source existence, type, accessibility, date, and vault identity.
2. Resolve configured directories; record defaults only when no config exists.
3. Classify input as external fact, human experience, internal state, or environment signal.
4. Assign source risk based on primary/secondary/mediated/self-reported status and freshness.
5. Search for canonical source, concepts, and entities before creating files.
</intake>
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Details
- Author
- Mark393295827
- Repository
- Mark393295827/third-brain-v5-skills
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- HTML
- License
- MIT
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