Migrate all repos into monorepo context folders
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.
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---
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name: capacity-matching
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description: >
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Find matching capacities for a task using the Teamlandkarte MCP server.
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Use this skill when the user wants to search for people with free capacity
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that match specific role, competences, and time range requirements.
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---
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# Capacity Matching Workflow
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## Prerequisites
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Before running a capacity search, you MUST have all of these:
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- **role_name**: The required role (or "Beliebige Rolle" if user refuses to specify)
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- **competences**: A non-empty list of required skills/technologies
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- **date_start / date_end**: A time range (open-ended allowed)
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- **description**: A concrete topic/goal (not just a single skill name)
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## Decision: Extract vs Guided Capture
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Use `extract_requirements(task_description)` when the user provides a reasonably complete description containing:
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- A scope/goal
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- At least 2 competences
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- A time range
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Use **guided capture** when any of the above are missing:
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1. `start_guided_capture()`
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2. `guided_set_description(description)`
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3. `guided_set_role(role_name)`
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4. `guided_set_time_range(date_start?, date_end?)`
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5. `guided_set_competences([...])`
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## Confirmation Gate (mandatory)
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After requirements are captured:
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1. Call `show_pending_requirements()` to display the review table
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2. Ask: "Soll ich diese Anforderungen so übernehmen und die Suche starten?" (Ja/Nein)
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3. Only on "Ja": call `confirm_requirements(confirm=true)`
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4. On "Nein": call `confirm_requirements(confirm=false)` and refine
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Never auto-confirm. Never confirm in the same turn as capture.
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## Running the Search
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Call `find_matching_capacities(role_name, competences, date_start?, date_end?)`.
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After results return:
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- Echo `Using SEARCH_ID=<uuid>` and the Summary table
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- Offer to show specific categories: Top, Good, Partial, Low
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- Use `get_results_by_category(search_id, category, page, page_size)` for browsing
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- Use `filter_search_results(search_id, ...)` for refinement
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## Minimum Follow-Up Questions
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If the user is underspecified (e.g. "Ich suche jemanden mit JavaScript"), ask:
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1. Welche Rolle soll die Person haben?
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2. Ab wann und bis wann wird die Person benötigt?
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3. Welche weiteren wichtigen Skills sind relevant?
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