---
name: archive-7c8b4b025bdd
description: "Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \"archive this\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse."
---

# Archive Skill

Capture, index, and reuse project knowledge across sessions.

## When to Archive

- After completing a significant task (deploy, migration, major feature)
- After resolving a tricky debugging session
- When the user says "archive this"
- After any multi-step process with learnings worth preserving

## When to Consult Archives

- Before debugging infrastructure, deploy, or CI issues
- Before repeating a process done in a past session
- When encountering an error that may have been solved before

**Search**: `grep -ri "keyword" .archive/`
**Index**: `.archive/MEMORY.md`

## Archive Workflow

1. Read `.archive/MEMORY.md` — check for related existing archives
2. Create `.archive/YYYY-MM-DD/` directory if needed
3. Write markdown file with YAML frontmatter (see `references/TEMPLATE.md`)
4. **Update `.archive/MEMORY.md`**: add one-line entry under the right category
5. If related archives exist, add `related` field in frontmatter

## Lookup Workflow

1. Read `.archive/MEMORY.md` to find relevant entries
2. Read the specific archive file for detailed context
3. Apply learnings to current task

## Categories

- **infrastructure** — AWS, ECS, IAM, networking, secrets, CloudWatch
- **release** — TestFlight, versioning, Git Flow, CHANGELOG
- **debugging** — Bug fixes, error resolution, gotchas
- **feature** — Feature design, implementation notes
- **design** — UI/UX, icons, visual design

## Rules

- `.archive/` must be in `.gitignore` — local-only notes
- Keep entries concise but reproducible
- Focus on **problems, fixes, and exact commands**
- Always update MEMORY.md after creating an archive
- Use descriptive filenames (e.g., `cloudwatch-logging.md` not `session.md`)
- Include YAML frontmatter with `tags`, `category`, and optional `related`


---
Source attribution: ReScienceLab
Original project: https://github.com/ReScienceLab/opc-skills
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ReScienceLab
Original project: https://github.com/ReScienceLab/opc-skills
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Analyst, DevOps / SRE
Specialties: Backend
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 5b9ee19c4bb5d17f569cafe106446bfe44623989c45b77d241d8296fdc8a83db