memory-management-lookup-flow
Sub-skill of memory-management: Lookup Flow.
Best use case
memory-management-lookup-flow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of memory-management: Lookup Flow.
Teams using memory-management-lookup-flow 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lookup-flow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How memory-management-lookup-flow Compares
| Feature / Agent | memory-management-lookup-flow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of memory-management: Lookup Flow.
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
# Lookup Flow ## Lookup Flow ``` User: "ask todd about the PSR for phoenix" 1. Check AGENTS.md (hot cache) → Todd? ✓ Todd Martinez, Finance → PSR? ✓ Pipeline Status Report → Phoenix? ✓ DB migration project 2. If not found → search memory/glossary.md → Full glossary has everyone/everything 3. If still not found → ask user → "What does X mean? I'll remember it." ``` This tiered approach keeps AGENTS.md lean (~100 lines) while supporting unlimited scale in memory/.
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