knowledge-base-update

SkillAI & models

Use this skill whenever you learn something important during a conversation: a key architectural decision, a project-specific convention, a bug root-cause, a 3rd-party API quirk, or any fact that would help a future agent avoid re-doing the same research. Writes structured entries to the project's knowledge base so that context persists across conversations and agents.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the knowledge-base-update skill

What this skill tells your AI

The instructions your AI receives, as published by omergocmen/vibe-coder-kit in .agent/skills/knowledge-base-update/SKILL.md and read by ahel’s review.

Knowledge Base Update Skill

When to Trigger

Activate this skill when any of the following occur:

  • An architectural or tech-stack decision is made (and the why matters)
  • A non-obvious bug is fixed (root cause + fix documented)
  • A 3rd-party service/API has a quirk, limit, or gotcha discovered
  • A project convention is established (naming, folder structure, patterns)
  • A research question is answered after significant investigation
  • A "we tried X and it failed because Y" moment happens

Step-by-Step Process

1. Identify the Entry Type

Choose the category that best describes what was learned:

TypeWhen to Use
decisionArchitecture, tech choices, trade-offs
conventionNaming rules, code patterns, folder structures
bugRoot cause + fix for a non-obvious problem
gotcha3rd-party quirk, env issue, edge case trap
researchAnswer to a question requiring significant investigation

2. Determine the File Path

Write to: .agent/knowledge/<slug>.md

  • slug = kebab-case summary of the topic (e.g., auth-token-refresh-strategy)
  • If an entry for this topic already exists, update it rather than creating a new file
  • Group related topics under subfolders: .agent/knowledge/auth/, .agent/knowledge/infra/, etc.

3. Write the Entry

Use this exact template:

---
type: <decision|convention|bug|gotcha|research>
topic: <Short human-readable title>
date: <YYYY-MM-DD>
tags: [<tag1>, <tag2>]
---

## Summary
<One or two sentences — what was learned, bottom line up front>

## Context
<Why this came up. What problem were we solving?>

## Decision / Finding
<The actual content. Be specific. Include code snippets if helpful.>

## Rationale
<Why this choice over alternatives. What alternatives were rejected and why.>

## Consequences
<What does this affect going forward? What to watch out for?>

## References
- <File path, PR link, conversation snippet, or external URL>

4. Update the Index

After writing the entry, append a one-line summary to .agent/knowledge/INDEX.md:

| <date> | <type> | [<topic>](./<path>.md) | <one-line summary> |

If INDEX.md doesn't exist yet, create it with this header first:

# Project Knowledge Base

| Date | Type | Topic | Summary |
|------|------|-------|---------|

5. Confirm to User

After writing, report:

  • What was saved and where
  • The one-line summary that was added to the index

Rules

  • Never summarize vaguely. "We decided to use X" is useless without why.
  • Include the anti-pattern. If something was tried and rejected, document it — that's often the most valuable knowledge.
  • Keep entries atomic. One topic per file. Don't bundle unrelated decisions.
  • Date is mandatory. Future agents need to know how fresh this knowledge is.
  • If in doubt, write it. The cost of a redundant entry is low. The cost of a missing one is re-doing the work.

Signals

GitHub stars
92
Forks
9
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
knowledge-base-update
Source
github.com/omergocmen/vibe-coder-kit