memory-management-decoding-user-input-tiered-lookup
Sub-skill of memory-management: Decoding User Input (Tiered Lookup) (+3).
Best use case
memory-management-decoding-user-input-tiered-lookup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of memory-management: Decoding User Input (Tiered Lookup) (+3).
Teams using memory-management-decoding-user-input-tiered-lookup 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/decoding-user-input-tiered-lookup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How memory-management-decoding-user-input-tiered-lookup Compares
| Feature / Agent | memory-management-decoding-user-input-tiered-lookup | 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: Decoding User Input (Tiered Lookup) (+3).
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
# Decoding User Input (Tiered Lookup) (+3)
## Decoding User Input (Tiered Lookup)
**Always** decode shorthand before acting on requests:
```
1. AGENTS.md (hot cache) → Check first, covers 90% of cases
2. memory/glossary.md → Full glossary if not in hot cache
3. memory/people/, projects/ → Rich detail when needed
4. Ask user → Unknown term? Learn it.
```
Example:
```
User: "ask todd to do the PSR for oracle"
AGENTS.md lookup:
"todd" → Todd Martinez, Finance ✓
"PSR" → Pipeline Status Report ✓
"oracle" → (not in hot cache)
memory/glossary.md lookup:
"oracle" → Oracle Systems deal ($2.3M) ✓
Now Codex can act with full context.
```
## Adding Memory
When user says "remember this" or "X means Y":
1. **Glossary items** (acronyms, terms, shorthand):
- Add to memory/glossary.md
- If frequently used, add to AGENTS.md Quick Glossary
2. **People:**
- Create/update memory/people/{name}.md
- Add to AGENTS.md Key People if important
- **Capture nicknames** - critical for decoding
3. **Projects:**
- Create/update memory/projects/{name}.md
- Add to AGENTS.md Active Projects if current
- **Capture codenames** - "Phoenix", "the migration", etc.
4. **Preferences:** Add to AGENTS.md Preferences section
## Recalling Memory
When user asks "who is X" or "what does X mean":
1. Check AGENTS.md first
2. Check memory/ for full detail
3. If not found: "I don't know what X means yet. Can you tell me?"
## Progressive Disclosure
1. Load AGENTS.md for quick parsing of any request
2. Dive into memory/ when you need full context for execution
3. Example: drafting an email to todd about the PSR
- AGENTS.md tells you Todd = Todd Martinez, PSR = Pipeline Status Report
- memory/people/todd-martinez.md tells you he prefers Slack, is directRelated Skills
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