3.6 KiB
3.6 KiB
Skill: generate-assessment
Structured assessment document from Jira ticket and code analysis.
Invoked by
📋 Planner mode
Required Inputs
| Input | Source | Example |
|---|---|---|
TICKET_KEY |
Jira issue key | ESIDEPAISY-12081 |
MODULE |
PAISY module name | eau, eubp, svmeldungen |
Output
Markdown file: docs/<MODULE>/<TICKET_KEY>/<TICKET_KEY>-assessment.md
Steps
1. Gather context from BigMind
memory_search_facts("<MODULE> <relevant keywords>")
memory_search_chunks("<MODULE> <relevant keywords>")
memory_search_semantic("<natural language description of the problem>")
2. Read Jira ticket
retrieve_ticket_details(TICKET_KEY)
# Extract: summary, description, acceptance criteria (customfield_10510)
# Note the Feature Link (customfield_10001) for traceability
3. Search ADP Wiki for domain context
# Check BigMind index first
memory_search_facts("<domain topic> adpdocs")
# If page ID known, fetch directly
set-wiki(uri="mcp://wikis/adpdocs.de.adp.com")
get-page(title="<relevant page>")
# If not known, search
search-page(query="<domain keywords>")
4. Search Confluence for prior decisions
search_confluence_by_cql("text ~ '<TICKET_KEY>' OR text ~ '<topic keywords>'")
5. Analyze affected source code
- Identify the module entry point:
java/modules/cs-modules/<MODULE>/ - Read key classes mentioned in the ticket
- Trace the data flow through the affected components
- Note patterns used: AbstractMeldung, Datenbaustein, ServiceCenter, EMFactory, JAXB, etc.
6. Generate assessment document
Write docs/<MODULE>/<TICKET_KEY>/<TICKET_KEY>-assessment.md with this structure:
# Assessment: <TICKET_KEY> — <Summary>
**Datum:** <today>
**Modul:** <MODULE>
**Autor:** Patrick Plate / Roo (Planner)
**Status:** Entwurf v1
---
## 1. Problemanalyse
<What is the problem? Why does it need to be solved? Reference Jira ticket.>
## 2. Betroffene Komponenten
| Komponente | Pfad | Rolle |
|-----------|------|-------|
| <Class> | <path> | <what it does> |
## 3. Ist-Zustand
<How does the current code work? Data flow, key methods, patterns used.>
## 4. Risikobewertung
| Risiko | Wahrscheinlichkeit | Auswirkung | Mitigation |
|--------|-------------------|------------|------------|
| <risk> | Hoch/Mittel/Niedrig | <impact> | <mitigation> |
## 5. Lösungsoptionen
### Option A: <name>
- **Beschreibung:** ...
- **Vorteile:** ...
- **Nachteile:** ...
- **Aufwand:** ...
### Option B: <name>
- **Beschreibung:** ...
- **Vorteile:** ...
- **Nachteile:** ...
- **Aufwand:** ...
## 6. Empfehlung
<Which option and why. Reference PAISY patterns, domain constraints, prior art.>
## 7. Offene Fragen
- [ ] <question 1>
- [ ] <question 2>
7. Present to user
- Show the assessment summary
- Explicitly ask: "Assessment v1 erstellt. GO / Feedback?"
- On feedback: revise and increment version (v2, v3, ...)
8. Store findings in BigMind
memory_store_fact(
category="codebase",
fact=f"{TICKET_KEY}: Assessment completed. <key finding summary>"
)
memory_append_chunk(
session_id=SESSION_ID,
content=f"Assessment for {TICKET_KEY}: <detailed findings>",
flag_reason="assessment findings"
)
Language
- Document content: German (PAISY domain convention)
- Technical terms (class names, patterns, tools): keep as-is in English
- Section headers: German
Conventions
- Date format:
dd.MM.yyyy(German) - Version tracking: v1, v2, v3 in the Status field
- File location: always under
docs/<MODULE>/<TICKET_KEY>/ - Reference existing plan docs if they exist (check
ls docs/<MODULE>/<TICKET_KEY>/)