Aws Learnings Add

AWS Learnings — Add a Lesson

Overview

The AWS Learnings library is a collection of hard-won AWS deployment lessons, published in llms.txt format so coding agents can fetch just the lessons relevant to a task. It lives at:

Repo: https://github.com/jbdamask/aws-learnings-library

Structure:

• llms.txt — the index: grouped by AWS service, one bullet per lesson (link + one-line summary).
• lessons/--.md — one self-contained lesson per file, each with YAML frontmatter + body. (SS is a two-digit seconds suffix added at creation time to avoid collisions between concurrent contributors; the original curated lessons predate this and use the plain -.md form.)

This skill adds a new lesson: it writes the new lessons/.md file, inserts a matching entry into llms.txt, commits the change on a branch, and then tells the user how to open a pull request. The library is the source of truth and changes land via PR — so this skill never pushes to main or merges; it stops at "here's how to open the PR."

Why a PR, and how the handoff degrades gracefully

The library is the source of truth and changes land via PR — so this skill never pushes to main or merges; it prepares the change on a branch and opens (or hands off) a PR.

Anyone on any machine should be able to contribute, so the skill adapts to the available tooling:

• If the GitHub CLI (gh) is installed and authenticated, the skill submits the PR automatically — push the branch and gh pr create, then report the PR URL.
• If gh is absent or not authenticated, it falls back to plain git (clone, branch, commit, push) and hands the user a ready-to-click GitHub compare URL to open the PR in the browser.

Everything up to step 7 is identical either way; only the final handoff differs. The skill must never depend on gh — it's an accelerator when present, not a requirement.

Workflow

1. Locate (or obtain) a local clone of the library

The lesson files must be written into a working copy of the repo.

1. Check whether the current project already is the library: look for llms.txt + a lessons/ directory with a git remote pointing at aws-learnings-library.
2. Otherwise, search common locations (e.g. ~/code, ~/projects, ~/src, ~/git, the current directory's siblings) for a clone:

``bash find ~ -maxdepth 4 -type d -name aws-learnings-library 2>/dev/null ``

1. If no clone is found, offer to make one in a sensible spot (don't assume gh):

``bash git clone https://github.com/jbdamask/aws-learnings-library.git `` If the user can't or won't clone, you can still help by drafting the lesson file content and the index entry as text for them to paste in manually — but the clean path is a local clone.

Set LIB= for the rest of the workflow.

2. Draft the lesson from the current context

The most valuable lessons are generalized from a specific incident — strip the project-specific names, keep the transferable insight. Most often you'll be invoked right after solving a problem, so pull the material from the current conversation. Capture:

• Problem — the observable symptom (the error message, the wrong behavior). Lead with what the user would actually see, so future readers recognize their situation.
• Root Cause — why it happened. This is the heart of the lesson; explain the underlying AWS behavior, not just the fix.
• Solution — the concrete fix, with a minimal code/YAML/CLI snippet. Use placeholder names (myapp-*, your-prefix-*), not the originating project's real identifiers.
• Key Insight (optional) — the one-sentence takeaway that generalizes beyond this case.

Keep it tight and faithful to the existing lessons' voice — look at a couple of files in $LIB/lessons/ for the house style before writing.

3. Pick the service and the lesson ID

Lesson IDs have the form --:

• `` — the prefix for the lesson's primary service.
• `` — a zero-padded 3-digit sequence number, one higher than the current max for that prefix.
• ` — the **two-digit seconds** of the current time (date +%S, e.g. 42`).

The seconds suffix exists to prevent ID collisions when several people contribute concurrently: two contributors who independently grab the same next sequence number (e.g. both compute apigw-006) will almost always be running at different wall-clock seconds, so their files and index entries won't clash. It's a cheap guard, not a guarantee — but it makes same-number collisions vanishingly unlikely without any central coordination.

Existing service prefixes:

apigw, lambda, iam, s3, cloudfront, cfn (CloudFormation), secrets, frontend, ec2, eventbridge, sqs, spot

If the lesson is about a genuinely new service not in the list, coin a short, lowercase, obvious prefix (e.g. dynamodb, stepfunctions, cognito).

Compute the ID:

PREFIX=apigw   # the chosen service prefix
# highest existing sequence number for this prefix (tolerates the -SS suffix on newer files)
MAX=$(ls "$LIB/lessons/" | grep -E "^${PREFIX}-[0-9]{3}" | sed -E "s/^${PREFIX}-([0-9]+).*/\1/" | sort -n | tail -1)
NEXT=$(printf '%03d' $(( ${MAX:-0} + 1 )))   # 001 if no files exist yet for a new prefix
SS=$(date +%S)                                # two-digit seconds, 00–59
ID="${PREFIX}-${NEXT}-${SS}"                  # e.g. apigw-006-42
echo "$ID"

4. Write the lesson file

Create $LIB/lessons/.md using this exact frontmatter shape (it's what makes the library machine-readable and lets the index be regenerated):

---
id: apigw-006-42
title: Short Imperative Title of the Lesson
services: [API Gateway]
summary: One sentence — the gotcha and the fix, dense enough to decide relevance from the index alone.
---

# Short Imperative Title of the Lesson

**Problem:** ...

**Root Cause:** ...

**Solution:** ...
\```yaml
# minimal, generalized snippet
\```

**Key Insight:** ...   # optional

Notes:

• services is a list of human-readable service names (e.g. [API Gateway, Lambda]), used for cross-referencing.
• summary is reused verbatim (or near-verbatim) as the index bullet's description — write it once, well.
• The H1 should match title.

5. Add the entry to the index (llms.txt)

Insert a bullet under the matching ## heading in $LIB/llms.txt, in the same format as the existing entries. The link must be the fully-qualified raw URL so an agent can fetch it directly:

- [Short link text](https://raw.githubusercontent.com/jbdamask/aws-learnings-library/main/lessons/.md): .

• Append within the existing section (rough numeric/topical order is fine).
• If the lesson introduces a new service prefix, add a new ## section. Place it sensibly among the existing headings.
• Don't disturb the # AWS Learnings title or the > blockquote intro at the top.

6. Commit on a branch (never on main)

cd "$LIB"
git checkout -b add-lesson-
git add llms.txt "lessons/.md"
git commit -m "Add lesson : "

Per the user's global preferences, do not attribute the commit to Claude/Anthropic.

7. Open the PR — automatically via gh if it's available, otherwise hand off to the browser

First detect whether the GitHub CLI is installed and authenticated:

if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
  echo "gh-ready"
fi

If gh is ready → submit the PR for the user. Push the branch and create the PR directly; no manual step required:

git push -u origin add-lesson-
gh pr create \
  --base main \
  --title "Add lesson : " \
  --body "Adds lesson \`\` () to the AWS Learnings library, plus its index entry in llms.txt."

gh pr create prints the PR URL on success — surface that URL to the user so they can track it. (If gh auth status showed an account without push access to jbdamask/aws-learnings-library, gh will offer to fork and open the PR from the fork — let it; that's the correct behavior for outside contributors.)

If gh is not installed or not authenticated → fall back to the browser path. Push the branch, then hand the user a ready-to-click compare URL:

git push -u origin add-lesson-

> Open a pull request here: > https://github.com/jbdamask/aws-learnings-library/compare/main...add-lesson-?expand=1

If the user lacks push access (and has no gh to auto-fork), they'll need to fork the repo first, push the branch to their fork, and open the PR from there — explain that briefly.

Either way, end by summarizing what was added: the new lesson id/title, the file path, the index section it landed under, and the PR URL (or the compare URL the user should open).

Guardrails

• One lesson per invocation, one lesson per file. If the user describes several distinct gotchas, create several files (and several index entries), each with its own id.
• Never merge or push to main. Stop at the PR. The library owner reviews contributions.
• Generalize. Replace real account IDs, bucket names, ARNs, and project names with placeholders before writing. Never paste secrets, tokens, or credentials into a lesson.
• Match the house style. Read an existing lesson or two first; keep the Problem / Root Cause / Solution / Key Insight rhythm.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: jbdamask
• Source: jbdamask/john-claude-skills
• License: MIT

Install and usage instructions live in the source repository linked above.