activating-memories

Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.

16 stars

Best use case

activating-memories is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.

Teams using activating-memories should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/activating-memories/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/devops/activating-memories/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/activating-memories/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How activating-memories Compares

Feature / Agentactivating-memoriesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

<quick_start>
1) Check `./.{AGENT_NAME}/skills/memories/` for memory skill folders.
   - Each memory is a skill file at `./.{AGENT_NAME}/skills/memories/<name>/SKILL.md`.
   - Example baseline set:
     - `project-overview/SKILL.md`
     - `suggested-commands/SKILL.md`
     - `style-and-conventions/SKILL.md`
     - `task-completion-checklist/SKILL.md`
2) If empty or missing, read `references/onboarding-guide.md` and execute onboarding.
3) Otherwise, read memories and proceed.
4) If you learn new info, update the relevant `<name>/SKILL.md` via `$writing-memories`.
</quick_start>

<decision_points>
- Memories missing/empty -> read `references/onboarding-guide.md` and run onboarding.
</decision_points>

<quality_checklist>
- Each memory should be dense with high-signal, repo-specific facts.
- Prefer concrete evidence (paths, filenames, commands) over vague summaries.
- If a memory is sparse, expand it by scanning the repo and updating it.
</quality_checklist>

<failure_modes>
- `AGENT_NAME` unclear: list directories under `.` and choose the active one (e.g. `.codex/` or `.claude/`).
</failure_modes>

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