Skip to content
Skillpedia
Documentation48k · #2608

compile-knowledge

Lets your agent store important information in an organized way. This helps the agent learn over time and not forget what it already knows. Useful for improving performance.

What it does

This tool organizes important information into small, separate files. It creates an index so you can easily find what you learned in past sessions, instead of having to figure it all out again.

When to use it

  • ✓When you discover an important, non-obvious fact.
  • ✓When you finish research and want to save the findings.
  • ✓When someone asks to 'save this information' or 'update the knowledge base'.

Example of what to ask your AI

“Save this information: the GitHub API counts pull requests as issues in the total count.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/compile-knowledge/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/compile-knowledge/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool saves each important fact in a separate file with a title and a short description. It also creates links between related information and a general index for easy searching.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill compile-knowledge

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/compile-knowledge/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Compile Knowledge

Overview

Durable knowledge is worth keeping as many small, interlinked markdown files compiled over time and surfaced through an index — not as one giant doc, a chat log, or a one-off notes.md that rots. This skill makes compiling consistent, so what an agent learns in one session is retrievable in the next one instead of being re-derived from scratch.

The shape is deliberately boring: one fact per file, a one-line description that recall matches against, [[slug]] links between related files, and a single index line per entry. The hard part is not the format — it is the discipline of writing only what is durable, and of updating an existing file instead of creating a near-duplicate.

When to Use This Skill

  • Use when you have just produced research, competitive intel, a digest, or an investigation result, and are about to close the task — compile before you close.
  • Use when you learn a non-obvious fact the hard way (a tool that fails silently, a measurement that contradicts the docs, a constraint nobody wrote down).
  • Use when the user says "save this", "write this to the wiki", "update the memory", "log this finding", "structure this knowledge", or "follow the karpathy method".
  • Do not use it for routine work. A deploy, a restart, or a one-line fix usually produces nothing durable, and filler pollutes recall.

How It Works

Step 1: Pick the store

  • Agent memory — the per-agent folder your harness already loads (memory/ with an index file such as MEMORY.md). This is the default and, for a solo agent, usually the only store you need.
  • Shared wiki — a wiki/ folder with wiki/index.md, for knowledge the whole team would otherwise re-derive. Skip it entirely if you work alone; do not manufacture team ceremony.

Rule of thumb: "only I act on this" goes to memory, "anyone on my team might need this" goes to the wiki. Cross-link the two with [[slug]] rather than copying the fact into both.

Step 2: Pass the hygiene gate

Compile only a fact that is durable and non-obvious. Skip it if it is derivable from the repository, the git history, or the existing docs; if it is true only for this one conversation; or if an existing file already covers it — in that last case update that file.

Step 3: Search before you write

Grep the store and skim the index for the topic. A near-duplicate is worse than no entry, because recall then has two answers and no way to choose between them.

Step 4: Write one atomic file

One fact per file. Two unrelated facts are two files. Name it as a kebab-case slug — the slug is the link target, so it has to be guessable by the next reader. Frontmatter carries name (equal to the slug), a one-line description specific enough to be matched during recall, and a type or category. In the body, state the fact plainly and link related entries with [[slug]] liberally; a link to a file that does not exist yet is a fine TODO marker, not an error.

Step 5: Add exactly one index line

Use one line in the form - Title → slug.md — hook, under ~200 characters. Detail lives in the file; an index line that restates the file defeats the point of having an index. Create the index if it is missing, or the store is undiscoverable.

Step 6: Age the fact instead of letting it rot

Facts expire. When one is time-sensitive or replaces an older one, say so in the frontmatter so recall can demote it rather than serving stale truth:

  • valid_to: YYYY-MM-DD — the date the fact needs a recheck.
  • supersedes: <slug> — the older fact this replaces. Prefer this over editing in place when the old value is still worth seeing; edit in place when it is not.
  • confidence: high|medium|low — so a hunch never outranks a measurement.
  • provenance: "<source>" — where the fact came from, distinct from who wrote the note.

All four are optional and portable; omitting them changes nothing.

Examples

Example 1: A measured, non-obvious fact goes to memory

---
name: reference_search_api_counts_prs_as_issues
description: "GitHub's /search/issues endpoint counts pull requests in total_count, so a zero there proves neither issues nor PRs exist — but a non-zero one does not tell you which."
confidence: high
provenance: "measured 2026-08-16 while dupe-checking four upstream repos"
---

`total_count` from `/search/issues?q=<term>+repo:<owner>/<name>` is the sum of issues and

…
FAQ

What is a 'durable, non-obvious fact'?

It's information that is likely to remain true for a while and isn't easily discoverable just by looking at documentation or code.

What happens if I try to save something that already exists?

The tool asks you to update the existing file instead of creating a new one, to avoid duplicate and confusing information.

Can I use this for quick daily notes?

It's not recommended. The tool is meant for storing important, lasting knowledge, not for temporary or routine notes.

Details

Original description by the author

Compile durable, non-obvious findings into an interlinked markdown knowledge store — atomic files, [[wiki-links]], a maintained index — so an agent gets smarter across sessions instead of relearning the same facts.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2608
License
MIT
Updated
10/15/2026

Is this skill useful?

0

Sign in to vote.

Comments

  • …

More skills from this repository

Similar skills