Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
4.0 KiB
4.0 KiB
name, description, activation
| name | description | activation |
|---|---|---|
| talk-intro | Generates speaker introductions for talks and events in three length variants. | manual |
talk-intro
Generates speaker introductions for talks and events. Produces three length variants (short, medium, long) adapted to the event context. Outputs Markdown files to output/intros/.
Activation
Activated by user request with a talk topic and event context. Example triggers:
- "write a speaker intro for my talk on [topic]"
- "generate an introduction for [event]"
- "I need a speaker bio for [conference]"
- "create a talk introduction"
Inputs
- Talk topic (required): The subject of the talk or presentation.
- Event context (required): The type of event — technical conference, business meeting, or academic setting. Used to adapt tone and emphasis.
- Person ID (optional): Which profile to generate the introduction for. Defaults to the primary profile if only one exists.
- Output filename prefix (optional): Custom prefix for output files. Defaults to
<person-id>-<event-slug>-<date>.
Workflow
1. Load person profile
- Read the target person profile from
kb/profiles/<person-id>.yaml - Read
kb/graph-index.yamlto discover related entities - Load referenced skills from
kb/skills/ - Load referenced experiences from
kb/experiences/ - Load referenced projects from
kb/projects/
2. Identify relevant expertise
- Use introduction generation logic (
src/intro/intro-generator.ts) to select expertise relevant to the talk topic - Match skills, experiences, and projects that relate to the talk subject
- Prioritize recent and high-level expertise
3. Determine tone
- Adapt tone based on event context:
- Technical conference — emphasize technical skills, open source contributions, hands-on experience, specific technologies
- Business meeting — emphasize leadership, strategic impact, organizational achievements, business outcomes
- Academic setting — emphasize research, publications, methodology, teaching, formal credentials
- Select vocabulary and sentence structure appropriate to the context
4. Generate length variants
- Short (2-3 sentences): Name, current role, and one key qualification relevant to the talk topic
- Medium (one paragraph): Expanded context including relevant experience, notable achievements, and connection to the talk topic
- Long (multiple paragraphs): Full professional narrative relevant to the talk, including career arc, specific projects, and expertise depth
5. Apply template
- Apply the speaker introduction template (
templates/intro-speaker.md) - Fill in all three length variants
- Include metadata (person, topic, event context, generation date)
6. Write output
- Write the generated introduction to
output/intros/<prefix>.md - Present all three variants to the user for selection
Output
- Speaker introduction file:
output/intros/<prefix>.md - Contains short, medium, and long variants in a single file
Shared Modules
This skill depends on the following shared validation and utility modules:
src/schemas/validate.ts— Entity validation (validate sources before generation)src/schemas/types.ts— TypeScript type definitions for all entity typessrc/io/yaml-utils.ts— YAML serialization/deserializationsrc/io/entity-files.ts— Entity file read management
Rules and Constraints
- No fabrication — only include information present in the knowledge base; never invent credentials or achievements
- Three variants required — always produce short, medium, and long variants
- Length ordering — short < medium < long in character count
- Topic relevance — emphasize expertise related to the talk topic
- Tone adaptation — adjust language and emphasis to match event context
- Markdown output — output as Markdown suitable for direct use
- Template-based — use
templates/intro-speaker.mdfor consistent formatting - Schema-validated sources — only read from validated entity files in
kb/