Capture conversations and brainstorms as timestamped notes in the Hero knowledge base.
npx skills add https://github.com/astroville/sprout --skill note-capture-astroville
Please help me install this Agent Skill. Skill: note-capture Source: https://github.com/astroville/sprout/tree/main/.claude/skills/note-capture Command: npx skills add https://github.com/astroville/sprout --skill note-capture-astroville
hero note. - Knowledge Graduation: Notes are indexed with FTS5 porter stemming for search and can later graduate into conventions, decisions, specs, or bug reports. - Use Case: After a productive design discussion about session storage, ask the agent to save it as a note; it creates .hero/knowledge/notes/redis-vs-postgres-session-store/spec.md with the full dialogue and key takeaways, searchable via hero search. ## Quick Start Ask the agent to save this conversation as a note about your chosen topic, and it will create and populate the note file in the Hero knowledge base.High-intent search queries and answers about installing and using this skill.
Ask the agent to save the conversation as a note with a topic. It derives a kebab-case slug, runs `hero note <slug>` to create the file, then writes the full dialogue with context and key takeaways sections.
Use selective capture by telling the agent which portion to save, such as "save the part about auth as a note." The agent extracts only the relevant discussion and writes it into the note file.
Include both sides of the dialogue, code snippets, trade-off analysis, decisions, and open questions. Exclude greetings, typo corrections, mechanical tool output, and sensitive data like credentials or tokens, which should be redacted.
Yes, saved notes are indexed by `hero index` and searchable via `hero search`. The full text is indexed with FTS5 porter stemming, so even rough notes remain findable later.
A note should graduate when its content matures: patterns become conventions, decisions become decision records, feature ideas become specs, and bug patterns become bug specs. The agent suggests this when it notices the fit.
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