Knowledge Base Ingest
SkillFiles & storageIntegrate a new source into the project knowledge base. Wraps the agent-knowledge-updater agent. Source can be a local file path, a URL, or pasted content. The updater reads the source, classifies it, identifies which existing library files it touches, makes surgical updates or creates new files, rebuilds the shelf-index, and appends to log.md.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Knowledge Base Ingest skill
What this skill tells your AI
The instructions your AI receives, as published by stevegjones/ai-first-sdlc-practices in skills/kb-ingest/SKILL.md and read by ahel’s review.
Take a new source and integrate it into the project's knowledge base. This is the ingest operation in the three-operations model (ingest / query / lint).
Argument
A source. Can be:
- A local file path:
library/raw/some-paper.md,~/Downloads/dora-2024.pdf - A URL:
https://example.com/research-report - Pasted text:
<long pasted excerpt>
Preflight
- Verify the project has a knowledge base configured (the
[Knowledge Base]section inCLAUDE.mdexists). If not, run/sdlc-knowledge-base:kb-initfirst. - Verify the
agent-knowledge-updateragent is available (sdlc-knowledge-base plugin is installed).
Steps
1. Resolve the source
If the argument is a file path: verify the file exists and is readable. If the argument is a URL: prepare for WebFetch (the agent will fetch). If the argument is pasted text: capture it for the agent.
If the source is a URL or a path outside library/raw/, recommend (but don't require) saving a local copy to library/raw/ for provenance:
Source is at <url>. Recommended: save a local copy to library/raw/<descriptive-name>.md before ingesting so provenance is preserved. Continue with direct fetch? (y/N)
If the user accepts, proceed with WebFetch in the agent. If they want to save locally first, pause and let them.
2. Invoke the agent-knowledge-updater
Dispatch the agent-knowledge-updater agent with the source as input. The agent's workflow:
- Read the source
- Classify it (does it belong in the knowledge base?)
- Read the shelf-index to find existing files this source touches
- Make surgical updates or create new files
- Rebuild the shelf-index (incremental)
- Append to log.md
The updater is opinionated about what belongs in the knowledge base. If it determines the source belongs elsewhere (operational knowledge → CONTRIBUTING.md, ADRs, project tracker, auto-memory), it will say so and not ingest. Respect that decision.
3. Report the result
Print the agent's summary:
Ingest complete: <source>
Files updated: N
Files created: M
Findings extracted: K
Citations added: J
Index rebuilt: yes
Log entry: yes (or skipped if no log.md)
Next steps (if any): <e.g., "Review the new file X for accuracy">
If the agent declined to ingest, print its rationale and the recommended destination if it provided one.
What this skill does NOT do
- It does not query the library — that's
/sdlc-knowledge-base:kb-query - It does not lint the library — that's
/sdlc-knowledge-base:kb-lint - It does not validate citations — that's
/sdlc-knowledge-base:kb-validate-citations - It does not write directly to library files — only the agent does that
Examples
Ingest a local academic paper:
/sdlc-knowledge-base:kb-ingest library/raw/forsgren-2024-cycle-time-update.md
Ingest from a URL:
/sdlc-knowledge-base:kb-ingest https://cloud.google.com/devops/state-of-devops/2024
Ingest pasted text (e.g., a conversation excerpt with research findings):
/sdlc-knowledge-base:kb-ingest "<paste the excerpt here>"
Errors
- No knowledge base configured — run
/sdlc-knowledge-base:kb-initfirst - Plugin not installed — install
sdlc-knowledge-base@ai-first-sdlc - Source unreadable — verify the file exists and you have read permissions
- WebFetch fails — check the URL is valid and reachable; fall back to manually downloading and ingesting the local file
- Updater declines ingest — the source doesn't belong in the knowledge base. Follow the recommended destination.
Signals
- GitHub stars
- 41
- Forks
- 6
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
kb-ingest- Source
- github.com/stevegjones/ai-first-sdlc-practices