/forgetful-remember
Remember knowledge worth keeping — a decision made, a solution found, a preference stated, a pattern confirmed. Use when work surfaces something future sessions will need, or the user asks to remember something. Routes content to the right store (memory, document, code artifact,
$ npx -y skills add ScottRBK/forgetful --skill forgetful-remember --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/forgetful-remember
Context preview
The summary Claude sees to decide when to auto-load this skill.
Remember knowledge worth keeping — a decision made, a solution found, a preference stated, a pattern confirmed. Use when work surfaces something future sessions will need, or the user asks to remember something. Routes content to the right store (memory, document, code artifact,
SKILL.md
forgetful-remember.SKILL.mdname: forgetful-remember
description: >-
Remember knowledge worth keeping — a decision made, a solution found, a preference stated,
a pattern confirmed. Use when work surfaces something future sessions will need, or the
user asks to remember something. Routes content to the right store (memory, document, code
artifact, entity, procedure, file) and enforces query-before-create.
license: MIT
tags: [memory, capture, curation, knowledge-management]
allowed-tools:
- mcp__forgetful__discover_forgetful_tools
- mcp__forgetful__how_to_use_forgetful_tool
- mcp__forgetful__execute_forgetful_tool
- Bash(forgetful:*)
Remembering knowledge in Forgetful
Capture is a sequence, not a single call: route the content to the right store, ground it in a project, check what already exists, then create atomically and link. Removal and rewriting happen by supersession only — a memory does not become less true because it hasn't been queried lately.
Invoking operations
Operations are named by registry name (`query_memory`, `create_memory`, ...). Invoke via whichever surface this agent has:
- **MCP**: `execute_forgetful_tool(tool_name="create_memory", arguments={...})`
- **CLI**: `forgetful call create_memory --args '{"title": "..."}' --json`
Get any operation's schema at runtime: `how_to_use_forgetful_tool` (MCP) or `forgetful tools info <operation>` (CLI) — schemas are deliberately not repeated here.
Step 1 — Route the type
| The content is... | Store as | Where | |---|---|---| | A single fact, decision, or preference | Memory | this skill, step 4 | | Detailed analysis or a guide (>300 words) | Document + entry memories | this skill, step 4 | | Reusable code | Code artifact | this skill, step 4 | | A person, org, device, product, component | Entity | `forgetful-entities` | | Step-by-step procedural knowledge | Skill | `forgetful-procedures` | | Binary content (image, PDF, asset) | File | `forgetful-files` | | A goal decomposing into steps / a work item | Plan / Task | feature-flagged; check discovery |
Done when: exactly one type is chosen, and routed-away types are handled by their skill.
Step 2 — Resolve the project
Every write needs a deliberate project decision. Derive the candidate from the repo: `git remote get-url origin` → `owner/repo` → `list_projects` with `repo_name`. When no project matches, create one or ask the user; when several could apply, ask.
Done when: a real `project_id` is confirmed — discovered or user-chosen, never assumed.
Step 3 — Query before create
Search for overlapping knowledge using the candidate's own essence as the query (`query_memory` with `query` and `query_context`). Classify every relevant hit:
| Existing memory is... | Action | |---|---| | Still accurate and covers the point | Link to it if related; skip creating a duplicate | | Right but missing the new detail | Update it — confirm with the user first | | Contradicted by the new knowledge | Mark obsolete (confirm first) + create replacement | | Overlapping but a distinct concept | Create new, then `link_memories` both |
Create and link freely; `update_memory` and `mark_memory_obsolete` rewrite history, so those two always get user confirmation before executing.
Done when: every hit is classified and the create/update/skip decision is explicit.
Step 4 — Create atomically
The atomicity test, before writing: Can the title say it in ~10 words? Is it self-contained without reading other memories? Is it ONE decision, fact, or pattern? A sprawling "Project X overview" fails the test — split it.
- Ideal content is 200–400 words. Limits: title ≤200 chars, content ≤2000, context ≤500,
keywords ≤10, tags ≤10.
- Set `importance` from the rubric below. About 70% of memories belong at 7–8; reserve 9–10.
| Band | Use for | |---|---| | 9–10 | Foundational: personal facts, architectural principles in constant use | | 8–9 | Critical solutions, major decisions | | 7–8 | Useful patterns, strong preferences, tool choices, standard implementations | | 6–7 | Milestones, minor context | | 5 | Noise floor: bulk/automated captures meant to stay out of normal recall |
- Stamp provenance when derived from source material: `source_repo`, `source_files`,
`source_url`.
Long-form variant: content over ~300 words becomes `create_document`, then 3–7 atomic memories as entry points, each linked to the document via `document_ids`. Reusable code becomes `create_code_artifact`, with a memory pointing at it when the *decision* behind the code matters too.
Done when: the object exists, atomic, scored, and provenance-stamped where applicable.
Step 5 — Link
Auto-linking connects each new memory to its nearest neighbours (similarity ≥ 0.7). Review what it picked up, then add `link_memories` manually only for the four kinds embeddings miss: cross-domain connections, prerequisite chains, contrast (this-not-that), and evolution (old approach → new approach).
Done when: auto-links reviewed and any of the four manual kinds added.
Step 6 — Announce
This skill is the single source of truth for the announcement convention. After saving with importance ≥ 7:
💾 Saved to memory: "<title>"
Tags: <tags>
Related: <linked memory titles>
Done when: the user can see what was saved and how it connected.
Read more
name: forgetful-remember description: >- Remember knowledge worth keeping — a decision made, a solution found, a preference stated, a pattern confirmed. Use when work surfaces something future sessions will need, or the user asks to remember something. Routes content to the right store (memory, document, code artifact, entity, procedure, file) and enforces query-before-create. license: MIT tags: [memory, capture, curation, knowledge-management] allowed-tools: - mcp__forgetful__discover_forgetful_tools - mcp__forgetful__how_to_use_forgetful_tool - mcp__forgetful__execute_forgetful_tool - Bash(forgetful:*)
Remembering knowledge in Forgetful
Capture is a sequence, not a single call: route the content to the right store, ground it in a project, check what already exists, then create atomically and link. Removal and rewriting happen by supersession only — a memory does not become less true because it hasn't been queried lately.
Invoking operations
Operations are named by registry name (`query_memory`, `create_memory`, ...). Invoke via whichever surface this agent has:
- **MCP**: `execute_forgetful_tool(tool_name="create_memory", arguments={...})`
- **CLI**: `forgetful call create_memory --args '{"title": "..."}' --json`
Get any operation's schema at runtime: `how_to_use_forgetful_tool` (MCP) or `forgetful tools info <operation>` (CLI) — schemas are deliberately not repeated here.
Step 1 — Route the type
| The content is... | Store as | Where | |---|---|---| | A single fact, decision, or preference | Memory | this skill, step 4 | | Detailed analysis or a guide (>300 words) | Document + entry memories | this skill, step 4 | | Reusable code | Code artifact | this skill, step 4 | | A person, org, device, product, component | Entity | `forgetful-entities` | | Step-by-step procedural knowledge | Skill | `forgetful-procedures` | | Binary content (image, PDF, asset) | File | `forgetful-files` | | A goal decomposing into steps / a work item | Plan / Task | feature-flagged; check discovery |
Done when: exactly one type is chosen, and routed-away types are handled by their skill.
Step 2 — Resolve the project
Every write needs a deliberate project decision. Derive the candidate from the repo: `git remote get-url origin` → `owner/repo` → `list_projects` with `repo_name`. When no project matches, create one or ask the user; when several could apply, ask.
Done when: a real `project_id` is confirmed — discovered or user-chosen, never assumed.
Step 3 — Query before create
Search for overlapping knowledge using the candidate's own essence as the query (`query_memory` with `query` and `query_context`). Classify every relevant hit:
| Existing memory is... | Action | |---|---| | Still accurate and covers the point | Link to it if related; skip creating a duplicate | | Right but missing the new detail | Update it — confirm with the user first | | Contradicted by the new knowledge | Mark obsolete (confirm first) + create replacement | | Overlapping but a distinct concept | Create new, then `link_memories` both |
Create and link freely; `update_memory` and `mark_memory_obsolete` rewrite history, so those two always get user confirmation before executing.
Done when: every hit is classified and the create/update/skip decision is explicit.
Step 4 — Create atomically
The atomicity test, before writing: Can the title say it in ~10 words? Is it self-contained without reading other memories? Is it ONE decision, fact, or pattern? A sprawling "Project X overview" fails the test — split it.
- Ideal content is 200–400 words. Limits: title ≤200 chars, content ≤2000, context ≤500,
keywords ≤10, tags ≤10.
- Set `importance` from the rubric below. About 70% of memories belong at 7–8; reserve 9–10.
| Band | Use for | |---|---| | 9–10 | Foundational: personal facts, architectural principles in constant use | | 8–9 | Critical solutions, major decisions | | 7–8 | Useful patterns, strong preferences, tool choices, standard implementations | | 6–7 | Milestones, minor context | | 5 | Noise floor: bulk/automated captures meant to stay out of normal recall |
- Stamp provenance when derived from source material: `source_repo`, `source_files`,
`source_url`.
Long-form variant: content over ~300 words becomes `create_document`, then 3–7 atomic memories as entry points, each linked to the document via `document_ids`. Reusable code becomes `create_code_artifact`, with a memory pointing at it when the *decision* behind the code matters too.
Done when: the object exists, atomic, scored, and provenance-stamped where applicable.
Step 5 — Link
Auto-linking connects each new memory to its nearest neighbours (similarity ≥ 0.7). Review what it picked up, then add `link_memories` manually only for the four kinds embeddings miss: cross-domain connections, prerequisite chains, contrast (this-not-that), and evolution (old approach → new approach).
Done when: auto-links reviewed and any of the four manual kinds added.
Step 6 — Announce
This skill is the single source of truth for the announcement convention. After saving with importance ≥ 7:
💾 Saved to memory: "<title>" Tags: <tags> Related: <linked memory titles>
Done when: the user can see what was saved and how it connected.
Forgetful is a storage and retrieval tool for AI Agents. Designed as a Model Context Protocol (MCP) server built using the FastMCP framework.
Repo: ScottRBK/forgetful
Other skills on forgetful.
- /forgetful-cli-setup
Set up the Forgetful CLI and connect from a terminal — install, local or remote mode, auth, and verification. Use when connecting a human or headless agent via shell, wiring CI with token auth, or operating a local server (serve, database selection, feature flags, re-embedding).
Open skill - /forgetful-context-gather
Gather deep context before planning or implementing — one pass that turns a task description into a cited context pack: relevant decisions, patterns, constraints, code pointers, procedures, and explicit gaps. Runs recall from several angles, explores the graph around the
Open skill - /forgetful-encode-repo
Encode a repository into the Forgetful knowledge base — bootstrap the project, its entities, memories, and documents from the codebase itself. Use when bringing a new repo under Forgetful or refreshing a stale encoding. Re-encoding is an update pass: query-before-create makes it
Open skill - /forgetful-entities
Model the things knowledge attaches to — people, organisations, devices, products, system components. Use when a new thing surfaces that memories will reference, when relationships between things need recording (owns, depends on, part of), or when another skill routes a
Open skill - /forgetful-explore
Explore the Forgetful knowledge graph when flat search isn't enough — cross-project investigations, "what do we know about X", entity-centred questions, tracing how decisions connect. Use when recall returns fragments that reference entities or trail across domains. Walks
Open skill - /forgetful-files
File binary content into the knowledge base — screenshots, PDFs, diagrams, fonts, assets. Use when a binary artifact is worth keeping alongside knowledge, or when a stored procedure needs a bundled asset. The description is the entire search surface: say what the file shows and
Open skill

