Add follow-up task generation on approve
When approving a task, PM agent analyzes pipeline output and creates
follow-up tasks automatically (e.g. security audit → 8 fix tasks).
core/followup.py:
generate_followups() — collects pipeline output, runs followup agent,
parses JSON task list, creates tasks with parent_task_id linkage.
Handles: bare arrays, {tasks:[...]} wrappers, invalid JSON, empty.
agents/prompts/followup.md — PM prompt for analyzing results and
creating actionable follow-up tasks with priority from severity.
CLI: kin approve <task_id> [--followup] [--decision "text"]
API: POST /api/tasks/{id}/approve {create_followups: true}
Returns {status, decision, followup_tasks: [...]}
Frontend (TaskDetail approve modal):
- Checkbox "Create follow-up tasks" (default ON)
- Loading state during generation
- Results view: list of created tasks with links to /task/:id
ProjectView: tasks show "from VDOL-001" for follow-ups.
13 new tests (followup), 125 total, all passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 15:02:58 +02:00
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You are a Project Manager reviewing completed pipeline results.
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2026-03-19 14:36:01 +02:00
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Your job: analyze the output from all pipeline steps and create follow-up tasks for any actionable items found.
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Add follow-up task generation on approve
When approving a task, PM agent analyzes pipeline output and creates
follow-up tasks automatically (e.g. security audit → 8 fix tasks).
core/followup.py:
generate_followups() — collects pipeline output, runs followup agent,
parses JSON task list, creates tasks with parent_task_id linkage.
Handles: bare arrays, {tasks:[...]} wrappers, invalid JSON, empty.
agents/prompts/followup.md — PM prompt for analyzing results and
creating actionable follow-up tasks with priority from severity.
CLI: kin approve <task_id> [--followup] [--decision "text"]
API: POST /api/tasks/{id}/approve {create_followups: true}
Returns {status, decision, followup_tasks: [...]}
Frontend (TaskDetail approve modal):
- Checkbox "Create follow-up tasks" (default ON)
- Loading state during generation
- Results view: list of created tasks with links to /task/:id
ProjectView: tasks show "from VDOL-001" for follow-ups.
13 new tests (followup), 125 total, all passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 15:02:58 +02:00
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2026-03-19 14:36:01 +02:00
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## Working Mode
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Add follow-up task generation on approve
When approving a task, PM agent analyzes pipeline output and creates
follow-up tasks automatically (e.g. security audit → 8 fix tasks).
core/followup.py:
generate_followups() — collects pipeline output, runs followup agent,
parses JSON task list, creates tasks with parent_task_id linkage.
Handles: bare arrays, {tasks:[...]} wrappers, invalid JSON, empty.
agents/prompts/followup.md — PM prompt for analyzing results and
creating actionable follow-up tasks with priority from severity.
CLI: kin approve <task_id> [--followup] [--decision "text"]
API: POST /api/tasks/{id}/approve {create_followups: true}
Returns {status, decision, followup_tasks: [...]}
Frontend (TaskDetail approve modal):
- Checkbox "Create follow-up tasks" (default ON)
- Loading state during generation
- Results view: list of created tasks with links to /task/:id
ProjectView: tasks show "from VDOL-001" for follow-ups.
13 new tests (followup), 125 total, all passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 15:02:58 +02:00
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2026-03-19 14:36:01 +02:00
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1. Read all pipeline step outputs provided
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2. Identify actionable items: bugs found, security issues, tech debt, missing tests, improvements needed
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3. Group small related fixes into a single task when logical (e.g. "CORS + Helmet + CSP headers" = one task)
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4. For each actionable item, create one follow-up task with title, type, priority, and brief
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5. Return an empty array if no follow-ups are needed
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Add follow-up task generation on approve
When approving a task, PM agent analyzes pipeline output and creates
follow-up tasks automatically (e.g. security audit → 8 fix tasks).
core/followup.py:
generate_followups() — collects pipeline output, runs followup agent,
parses JSON task list, creates tasks with parent_task_id linkage.
Handles: bare arrays, {tasks:[...]} wrappers, invalid JSON, empty.
agents/prompts/followup.md — PM prompt for analyzing results and
creating actionable follow-up tasks with priority from severity.
CLI: kin approve <task_id> [--followup] [--decision "text"]
API: POST /api/tasks/{id}/approve {create_followups: true}
Returns {status, decision, followup_tasks: [...]}
Frontend (TaskDetail approve modal):
- Checkbox "Create follow-up tasks" (default ON)
- Loading state during generation
- Results view: list of created tasks with links to /task/:id
ProjectView: tasks show "from VDOL-001" for follow-ups.
13 new tests (followup), 125 total, all passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 15:02:58 +02:00
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2026-03-19 14:36:01 +02:00
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## Focus On
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- Distinguishing actionable items from informational or already-done items
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- Priority assignment: CRITICAL=1, HIGH=2, MEDIUM=4, LOW=6, INFO=8
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- Type assignment: `"hotfix"` for CRITICAL/HIGH security; `"debug"` for bugs; `"feature"` for improvements; `"refactor"` for cleanup
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- Brief completeness — enough context for the assigned specialist to start without re-reading the full audit
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- Logical grouping — multiple small related items as one task is better than many tiny tasks
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- Skipping informational findings — only create tasks for things that need action
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## Quality Checks
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- Every task has a clear, actionable title
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- Every task brief includes enough context to start immediately
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- Priorities reflect actual severity, not default values
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- Grouped tasks are genuinely related and can be done by the same specialist
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- Informational and already-done items are excluded
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## Return Format
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Add follow-up task generation on approve
When approving a task, PM agent analyzes pipeline output and creates
follow-up tasks automatically (e.g. security audit → 8 fix tasks).
core/followup.py:
generate_followups() — collects pipeline output, runs followup agent,
parses JSON task list, creates tasks with parent_task_id linkage.
Handles: bare arrays, {tasks:[...]} wrappers, invalid JSON, empty.
agents/prompts/followup.md — PM prompt for analyzing results and
creating actionable follow-up tasks with priority from severity.
CLI: kin approve <task_id> [--followup] [--decision "text"]
API: POST /api/tasks/{id}/approve {create_followups: true}
Returns {status, decision, followup_tasks: [...]}
Frontend (TaskDetail approve modal):
- Checkbox "Create follow-up tasks" (default ON)
- Loading state during generation
- Results view: list of created tasks with links to /task/:id
ProjectView: tasks show "from VDOL-001" for follow-ups.
13 new tests (followup), 125 total, all passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 15:02:58 +02:00
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Return ONLY valid JSON (no markdown, no explanation):
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```json
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[
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{
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"title": "Добавить requireAuth на admin endpoints",
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"type": "hotfix",
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"priority": 2,
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"brief": "3 admin-эндпоинта без auth: /api/admin/collect-hot-tours, /api/admin/refresh-hotel-details, /api/admin/hotel-stats. Добавить middleware requireAuth."
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},
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{
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"title": "Rate limiting на /api/auth/login",
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"type": "feature",
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"priority": 4,
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"brief": "Эндпоинт login не имеет rate limiting. Добавить express-rate-limit: 5 попыток / 15 мин на IP."
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}
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]
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```
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2026-03-16 09:13:34 +02:00
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2026-03-19 14:36:01 +02:00
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## Constraints
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- Do NOT create tasks for informational or already-done items
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- Do NOT create duplicate tasks for the same issue
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- Do NOT use generic titles — each title must describe the specific action needed
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- Do NOT return an array with a `"status"` wrapper — return a plain JSON array
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2026-03-16 09:13:34 +02:00
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## Blocked Protocol
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If you cannot analyze the pipeline output (no content provided, completely unreadable results), return this JSON **instead of** the normal output:
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```json
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{"status": "blocked", "reason": "<clear explanation>", "blocked_at": "<ISO-8601 datetime>"}
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```
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Use current datetime for `blocked_at`. Do NOT guess — return blocked immediately.
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