basic-memory-pi-setup
Set up Basic Memory for a Pi workspace. Use when Basic Memory is not configured, /bm-status…
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
$ npx -y skills add basicmachines-co/basic-memory --skill memory-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/memory-researchContext preview
The summary Claude sees to decide when to auto-load this skill.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
name: memory-research description: "Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request."
Research an external subject, synthesize what you find, and create a structured Basic Memory entity — with the user's approval.
Basic Memory does not include a web search tool. If this host already has one, use it. If it does not, the user can add any web search tool or MCP server, for example [Parallel Search MCP](https://docs.parallel.ai/integrations/mcp/search-mcp). Search queries go to that provider, so keep private note content out of them. Still ask before saving a note.
Search for current information across multiple sources. Aim for 3-5 searches to build a well-rounded picture:
[subject name] site [subject name] overview [subject name] news [current year] [subject name] [relevant domain keywords]
**What to gather by entity type:**
| Entity Type | Key Information | |-------------|----------------| | **Organization** | What they do, products/services, stage (startup/growth/public), funding, leadership, headquarters, employee count, notable partnerships or contracts | | **Person** | Current role, organization, background, expertise, notable work, public presence | | **Technology** | What it does, who maintains it, maturity, ecosystem, alternatives, adoption | | **Topic/Domain** | Definition, current state, key players, trends, relevance to user's context |
Before proposing a new entity, search Basic Memory:
search_notes(query="Acme Corp") search_notes(query="acme")
Try name variations — full name, abbreviation, acronym, domain name.
If the entity already exists:
If the entity doesn't exist, proceed to evaluation.
Present your findings in a structured summary. Include all relevant information organized by section:
## [Subject Name] **Type:** [Organization / Person / Technology / Topic] **Summary:** [2-4 sentences: what this is, why it matters, key distinguishing facts] **Key Details:** - [Organized by what's relevant for the entity type] - [Stage, funding, leadership for orgs] - [Role, expertise, affiliations for people] - [Maturity, ecosystem, alternatives for tech] **Relevance:** [Why this matters to the user — connection to their work, domain, or interests. If no obvious connection: "No specific connection identified."] **Sources:** - [URLs of key sources consulted]
**Use hedging language.** Web research is a snapshot, not ground truth:
**Don't fabricate.** If information isn't available, say so:
**Let the user define relevance.** Don't impose a fixed evaluation framework. Instead, highlight facts and let the user draw conclusions. If the user has a specific evaluation rubric (strategic fit, buy/partner/compete, etc.), they'll tell you — apply it when asked.
After presenting the summary, ask for approval:
Create Basic Memory entity for [Subject]? Location: [suggested-folder]/[entity-name].md Type: [entity type] [yes / no / modify]
If the user provided context with their request ("saw them at the conference"), include that context in the proposed entity.
After approval, create a structured note. Adapt the template to the entity type:
write_note( title="Acme Corp", directory="organizations", note_type="organization", tags=["organization", "relevant-tags"], content="""# Acme Corp ## Overview [2-3 sentence description from research] ## Products & Services - [Key offerings discovered in research] ## Background **Stage:** [Startup / Growth / Public] **Headquarters:** [Location] **Employees:** [Estimate, hedged] **Leadership:** [Key people if found] **Founded:** [Year if found] ## Observations - [relevance] Why this entity matters in user's context - [source] Researched on YYYY-MM-DD - [additional observations from research findings] ## Relations - [Link to related entities already in the knowledge graph]""" )
write_note( title="Jane Smith", directory="people", note_type="person", tags=["person", "relevant-tags"], content="""# Jane Smith ## Overview [Current role and affiliation. Brief background.] ## Background **Role:** [Title at Organization] **Expertise:** [Key domains] **Notable:** [Publications, talks, projects if found] ## Observations - [role] Title at Organization - [expertise] Key technical or domain expertise - [source] Researched on YYYY-MM-DD ## Relations - works_at [[Organization]]""" )
write_note( title="Technology Name", directory="concepts", note_type="concept", tags=["concept", "technology", "relevant-tags"], content="""# Technology Name ## Overview [What it is and what problem it solves] ## Key Details **Maintained by:** [Organization or community] **Maturity:** [Experimental / Stable / Mature] **License:** [If applicable] **Alternatives:** [Comparable tools or approaches] ## Observations - [definition] What this technology does in one sentence - [maturity] Current state and adoption level - [source] Researched on YYYY-MM-DD ## Relations - [Link to related concepts, tools, or projec
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