Memory manager
Skill Razaib-khan/ForgeWeave/src/forgeweave/templates/gemini/.gemini/skills/memory-manager
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npx -y skills add Razaib-khan/ForgeWeave --skill memory-managerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Handles local persistence of research outputs, intermediate reasoning, and reusable knowledge chunks
SKILL.md
2.3 KB, 457 tokens by cl100k_base, as published. Nobody here has run it
Memory Manager
Purpose
Persist and retrieve structured data across sessions — research outputs, intermediate reasoning steps, reusable knowledge chunks, and cache entries. Prevents redundant work by reusing previously computed results when inputs match.
When to Use
- Research results should be saved for future reference
- Intermediate reasoning needs to be persisted for multi-step workflows
- Previously computed results can be reused instead of recomputed
- Debug or trace information needs to be logged
When Not to Use
- The data is ephemeral and only needed for the current response
- The data contains secrets or credentials (use secure storage instead)
- The storage would exceed reasonable size limits
Inputs
| Input | Type | Required | Description |
|---|---|---|---|
operation | enum | Yes | save, load, search, clear |
key | string | Depends | Unique key for the data |
data | object | For save | The data to persist |
namespace | string | No (default: general) | Category for the data |
Expected Outputs
| Output | Description |
|---|---|
| Operation result | Success with location, or loaded data, or search results |
Exact Workflow Steps
- Determine the persistence location based on namespace and TUI
- For save: serialize data to disk at
research/or.<tui>/memory/ - For load: deserialize data from its persisted location
- For search: scan persisted data for matching keys or content
- For clear: remove caches and temporary data
Required Checks
- Saved data is retrievable with the correct key
- Cache entries have expiration or size limits
- No sensitive data is persisted without warning
Failure Modes
| Failure Condition | Response |
|---|---|
| Key not found on load | Report "not found" |
| Storage full | Suggest clearing old entries |
| Serialization fails | Report the unsupported type |
References
| Reference | Path |
|---|---|
| Cache & Store skill | ../cache-store/SKILL.md |
| research/ directory | ./research/ |
Gives 0 of the 12 instructions most memory context skills give in 457 tokens
Counted across 674 of the 847 authors here whose files we hold, read 2026-08-06
- inform the user when setup is completein 21 of 674, across 6 files
- confirm the draft with the user before writingin 21 of 674, across 6 files
- update the agent skills block in place if it existsin 21 of 674, across 6 files
- present findings to the userin 20 of 674, across 5 files
- write the three docs files from seed templatesin 20 of 674, across 5 files
- ask the user about each decision one at a timein 19 of 674, across 4 files
- edit CLAUDE.md if it existsin 18 of 674, across 3 files
- explore current repo statein 18 of 674, across 3 files
- do not overwrite user edits to surrounding sectionsin 18 of 674, across 3 files
- back up the original file before overwritingin 16 of 674, across 8 files
- keep the memory index under 200 linesin 15 of 674
- Provide actionable steps and verificationin 13 of 674, across 2 files
Said here and by no other author read
- determine the persistence location based on namespace and TUI
- serialize data to disk for save operations
- deserialize data for load operations
- scan persisted data for matching keys or content
- remove caches and temporary data for clear operations
- verify saved data is retrievable with the correct key
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.