Wiki Source Ingest
Fold one article, paper, or transcript into your wiki: cited source page, surgical page updates, conflicts kept, index and log updated.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help you set up a process wiki for your engineering team. There are several tools you could use for this—Notion, Confluence, GitBook, or a self-hosted wiki. Do you have a preference on which platform? Also, what are the main processes you want to document—deployments, on-call runbooks, incident response, code review standards? I could help you structure the wiki with a clear hierarchy and suggest templates for different types of documentation. Do you want me to outline what should go into each section, or would you prefer I start with one runbook example?
ENGINEERING WIKI STRUCTURE ===== TAXONOMY ===== Root: /engineering /engineering/onboarding • First day checklist • Development environment setup • Access provisioning (GitHub, AWS, etc.) • Tools walkthrough (Slack, Notion, CI/CD) /engineering/runbooks • Deployments ├ Staging deploy checklist ├ Production deploy checklist └ Rollback procedure • Incident response ├ High-severity incident playbook ├ On-call escalation matrix └ Post-mortem template • On-call duties ├ On-call schedule ├ Alert routing rules └ Common alert responses /engineering/architecture • System design overview • API specifications • Database schema • Deployment architecture (diagram) • Third-party integrations /engineering/standards • Code review guidelines • Commit message format • Naming conventions • Testing requirements (unit + integration) /engineering/troubleshooting • Common issues + fixes • Performance tuning guide • Log analysis playbook ===== TEMPLATE: RUNBOOK ===== Filename: /engineering/runbooks/deployment-production.md PRODUCTION DEPLOYMENT Prerequisites • You have merge permissions on main • You have AWS access (prod account) • Latest code is pushed to main • All tests pass on CI • Staging deployment completed and verified Step 1: Verify Pre-deployment → Run: npm run build → Run: npm run test:integration → Check: Are all high-priority PRs merged? Step 2: Deploy to Production → Command: npm run deploy --env=prod → Monitor: Deployment logs in CloudWatch → Wait for: Green status on all health checks Step 3: Smoke Test → Open prod.ourapp.com → Log in as test@ourapp.com → Perform 5 critical flows (signup, purchase, export) → Check database for new records Step 4: Monitor Metrics (next 10 minutes) → CPU usage: Should stay < 60% → Error rate: Should stay < 0.1% → Response time p95: Should stay < 300ms → If anomaly detected → Go to ROLLBACK section Step 5: Notify → Post in #deployments: Production deployed by Name at Time. Version: git tag ROLLBACK PROCEDURE (if anything goes wrong) → Command: npm run rollback --env=prod --to-version=previous-tag → Verify health checks (same as Step 3) → Post in #incidents: Rolled back to Version due to Reason Estimated time: 15 minutes On-call escalation: If unclear, page DevOps lead ===== TEMPLATE: INCIDENT RESPONSE ===== Incident severity: HIGH Detection: Error rate > 1% for 2 min Immediate actions (first 5 min): 1. Page on-call engineer 2. Post in #incidents: Production error spike detected 3. Gather: Error logs, affected users, root cause hypothesis Investigation (next 10 min): • Query logs: SELECT * FROM errors WHERE severity = HIGH ORDER BY timestamp DESC LIMIT 100 • Check metrics: CPU, memory, database connections • Review recent deployments: Was anything shipped in last hour? Resolution (parallel to investigation): • If deployment caused: Rollback (see runbook) • If database issue: Trigger failover (see runbook) • If third-party API: Switch to backup provider Post-incident: → Schedule post-mortem within 24 hours → Document: Timeline, root cause, prevention step ===== SEARCHABILITY ===== Each page tagged with: Category, Severity, Time-to-complete Example: Deployment checklist tagged Deployment Low-risk 15 min Search index updated daily Common searches alias to fastest answer (e.g., how do I deploy → /runbooks/deployment-production)
About this skill
Add a source to your wiki without damaging what is already there. Every claim is cited, existing facts are never silently overwritten, and you get a list of exactly what changed.
What it does
- Saves the source to an immutable raw folder and reads all of it before writing
- Writes a source page with located, attributed claims and keeps the author's hedges
- Checks titles and aliases so name variants update one page instead of creating duplicates
- Edits affected entity and concept pages surgically and records conflicts with dates
- Updates the index and appends a log entry every time
What you get
A source page, updated and new wiki pages, and a short change report listing created pages, updated pages, and conflicts to review.
Best for
Researchers, analysts, and builders who add sources one at a time to an Obsidian vault or agent-maintained markdown wiki.
SKILL.md preview
---
name: wiki-ingest
description: Ingest one source (article, paper, PDF, transcript, meeting notes, web page) into an LLM-maintained markdown wiki - save it to raw/, write a cited source page, update the entity and concept pages it touches, record conflicts with existing pages instead of overwriting them, and update the index and log. Use when the user says "add this to the wiki", "ingest this article", "file this paper", "process these meeting notes into the knowledge base", "summarize this and update the relevant pages", or just drops a link or PDF and says "wiki this".
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# Wiki Source Ingest
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