memory-management-decoding-user-input-tiered-lookup

Sub-skill of memory-management: Decoding User Input (Tiered Lookup) (+3).

5 stars

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

$curl -o ~/.claude/skills/decoding-user-input-tiered-lookup/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/business/productivity/memory-management/decoding-user-input-tiered-lookup/SKILL.md"

Manual Installation

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

How memory-management-decoding-user-input-tiered-lookup Compares

Feature / Agentmemory-management-decoding-user-input-tiered-lookupStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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 direct

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