memory-retriever
SolidUse when the user explicitly chooses read-only RightMemory retrieval for relevant context from earlier work, preferences, project or domain knowledge, live Pursuits, or reusable agent guidance. This skill never submits updates or modifies RightMemory.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- RightL
- Repository
- RightL/RightMemory
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
rightmemory-orchestrator
Use when the user explicitly chooses full RightMemory orchestration: conditionally retrieve relevant durable Memory or live Pursuit context, then submit task-state, durable-context, and explicit-correction candidates so the unified updater can maintain both document trees.
right-memory
Manage your long-term memory powered by Hindsight
memory-search
Searches the project's recorded memory (core-memory-kit) — decisions, conventions, architecture, the reasoning behind choices, and where things live — and returns a curated, cited summary. Fire whenever the answer might be something the project already established in past work, HOWEVER the question is phrased — any prior decision, convention, rationale, or "how/where/why is it this way" question, including oblique or roundabout asks ("why is everything so spread out?", "remind me what we settled on for X", "how come these files are tiny?"). Also fire when a "[core-memory-kit] Memory available" hint appears on the prompt. The examples are illustrative, not a checklist — prefer recalling over re-deriving an answer from the code. The session-start snapshot is a bounded index; this skill reaches the rest. Skip only when the question is purely about uncommitted or just-edited live code that memory cannot know, concerns this conversation only, or the user asked to ignore memory.