/forgetful-procedures
Store and find procedural knowledge — reusable step-by-step how-tos — in Forgetful's skill store. Use when a workflow worth repeating gets worked out, when the user asks how something is done here, or when importing or exporting SKILL.md files. Litmus: a procedure someone
$ npx -y skills add ScottRBK/forgetful --skill forgetful-procedures --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-procedures
Context preview
The summary Claude sees to decide when to auto-load this skill.
Store and find procedural knowledge — reusable step-by-step how-tos — in Forgetful's skill store. Use when a workflow worth repeating gets worked out, when the user asks how something is done here, or when importing or exporting SKILL.md files. Litmus: a procedure someone
SKILL.md
forgetful-procedures.SKILL.mdname: forgetful-procedures
description: >-
Store and find procedural knowledge — reusable step-by-step how-tos — in Forgetful's skill
store. Use when a workflow worth repeating gets worked out, when the user asks how
something is done here, or when importing or exporting SKILL.md files. Litmus: a procedure
someone follows is a skill; a fact someone recalls is a memory.
license: MIT
tags: [skills, procedures, how-to, skill-store]
allowed-tools:
- mcp__forgetful__discover_forgetful_tools
- mcp__forgetful__how_to_use_forgetful_tool
- mcp__forgetful__execute_forgetful_tool
- Bash(forgetful:*)
Storing and finding procedures
Forgetful's skill store is procedural memory: how-tos that agents retrieve by capability and follow. All skill operations run through the standard invocation surface below, the same as every other domain.
Invoking operations
Operations are named by registry name (`search_skills`, `create_skill`, ...). Invoke via whichever surface this agent has:
- **MCP**: `execute_forgetful_tool(tool_name="search_skills", arguments={...})`
- **CLI**: `forgetful call search_skills --args '{"query": "..."}' --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 — Apply the litmus
"How to review pull requests in this project" is a skill; "we use conventional commits" is a memory (`forgetful-remember`). A procedure has steps someone follows in order; a fact is recalled and applied.
Done when: the content is confirmed procedural.
Step 2 — Search before create
`search_skills` for the capability first — search is semantic over skill *descriptions*, so query by what the procedure achieves ("deploy the API", "rotate credentials"), not its exact name. An existing skill that covers it gets updated (`update_skill`) rather than duplicated; names are unique.
Done when: create vs update is an informed decision.
Step 3 — Create with the description carrying the weight
The description is the only embedded field — content (up to 100KB) is stored but never searched semantically. Write the description as the retrieval surface: what the procedure achieves, when to reach for it, capability keywords. Then `create_skill` with kebab-case name, the full markdown procedure as content, tags, and importance.
Done when: the skill exists and a capability-phrased `search_skills` finds it.
Step 4 — Import / export SKILL.md
`import_skill` ingests a SKILL.md string: YAML frontmatter needs `name` and `description`; `license`, `compatibility`, `tags`, `metadata`, and `allowed-tools` (hyphenated on disk, mapped to `allowed_tools` internally) are honoured. The body after the frontmatter becomes the content. `export_skill` re-emits the SKILL.md, round-trip faithful — tags included.
Done when: imported skills search well (check the description survived intact) and exports open cleanly in the target platform.
Step 5 — Link the supporting material
Procedures rarely stand alone: `link_skill_to_memory` for the decisions behind the procedure, `link_skill_to_document` for long-form background, `link_skill_to_code_artifact` for the code it operates, `link_skill_to_file` for bundled assets. `get_skill_links` shows everything attached — it is the reverse lookup, returning linked memory, file, code artifact, and document IDs.
Done when: following the procedure never requires hunting for its supporting material.
Read more
name: forgetful-procedures description: >- Store and find procedural knowledge — reusable step-by-step how-tos — in Forgetful's skill store. Use when a workflow worth repeating gets worked out, when the user asks how something is done here, or when importing or exporting SKILL.md files. Litmus: a procedure someone follows is a skill; a fact someone recalls is a memory. license: MIT tags: [skills, procedures, how-to, skill-store] allowed-tools: - mcp__forgetful__discover_forgetful_tools - mcp__forgetful__how_to_use_forgetful_tool - mcp__forgetful__execute_forgetful_tool - Bash(forgetful:*)
Storing and finding procedures
Forgetful's skill store is procedural memory: how-tos that agents retrieve by capability and follow. All skill operations run through the standard invocation surface below, the same as every other domain.
Invoking operations
Operations are named by registry name (`search_skills`, `create_skill`, ...). Invoke via whichever surface this agent has:
- **MCP**: `execute_forgetful_tool(tool_name="search_skills", arguments={...})`
- **CLI**: `forgetful call search_skills --args '{"query": "..."}' --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 — Apply the litmus
"How to review pull requests in this project" is a skill; "we use conventional commits" is a memory (`forgetful-remember`). A procedure has steps someone follows in order; a fact is recalled and applied.
Done when: the content is confirmed procedural.
Step 2 — Search before create
`search_skills` for the capability first — search is semantic over skill *descriptions*, so query by what the procedure achieves ("deploy the API", "rotate credentials"), not its exact name. An existing skill that covers it gets updated (`update_skill`) rather than duplicated; names are unique.
Done when: create vs update is an informed decision.
Step 3 — Create with the description carrying the weight
The description is the only embedded field — content (up to 100KB) is stored but never searched semantically. Write the description as the retrieval surface: what the procedure achieves, when to reach for it, capability keywords. Then `create_skill` with kebab-case name, the full markdown procedure as content, tags, and importance.
Done when: the skill exists and a capability-phrased `search_skills` finds it.
Step 4 — Import / export SKILL.md
`import_skill` ingests a SKILL.md string: YAML frontmatter needs `name` and `description`; `license`, `compatibility`, `tags`, `metadata`, and `allowed-tools` (hyphenated on disk, mapped to `allowed_tools` internally) are honoured. The body after the frontmatter becomes the content. `export_skill` re-emits the SKILL.md, round-trip faithful — tags included.
Done when: imported skills search well (check the description survived intact) and exports open cleanly in the target platform.
Step 5 — Link the supporting material
Procedures rarely stand alone: `link_skill_to_memory` for the decisions behind the procedure, `link_skill_to_document` for long-form background, `link_skill_to_code_artifact` for the code it operates, `link_skill_to_file` for bundled assets. `get_skill_links` shows everything attached — it is the reverse lookup, returning linked memory, file, code artifact, and document IDs.
Done when: following the procedure never requires hunting for its supporting material.
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

