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speckit-tasksagent
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Guides Claude when building, debugging, or extending features in the AutoBidder Next.js 15 + FastAPI codebase. Use this skill whenever the user mentions adding a feature, fixing a bug, writing an API endpoint, creating a React component, working on the frontend or backend code, asking about project conventions, setting up Docker, managing environment variables, or doing anything related to AutoBidder's tech stack (Next.js, FastAPI, TanStack Query, shadcn/ui, TailwindCSS, PostgreSQL, JWT auth, Resend, Vercel, Railway). Also trigger when the user shares a file path, pastes code from the project, or asks "how does X work in this project". Always consult this skill before writing any AutoBidder code — it encodes the project's conventions and will prevent pattern drift.
Guides Claude through AutoBidder's end-to-end AI proposal generation workflow. Use this skill whenever the user wants to generate, draft, review, or refine a freelance proposal — including when they paste a job description, say "write a bid", "generate a proposal", "draft a proposal for this job", "help me respond to this posting", "what should I write for this job", or share a job URL. Also trigger when the user asks about proposal strategy, how to customize a template, or whether a job is a good fit. Even if the request seems simple ("quick proposal for this"), use this skill — it encodes AutoBidder's full quality workflow and should always be consulted when proposals are involved.
Guides Claude when managing, debugging, or improving AutoBidder's RAG knowledge base pipeline. Use this skill whenever the user mentions: "knowledge base", "RAG", "ChromaDB", "embeddings", "document upload", "retrieval", "the AI isn't using the right context", "portfolio docs", "LangChain", "chunking", "vector store", "bad proposals", or "why did it generate that". Also trigger when the user wants to upload new portfolio documents, inspect what's in the knowledge base, tune retrieval quality, debug why a proposal got irrelevant context, or rebuild/reset the vector store. Always consult this skill before touching anything in backend/app/services/knowledge_service.py or the ChromaDB collection — it encodes all ingestion, retrieval, and debugging patterns for this project.
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
Generate a custom checklist for the current feature based on user requirements.
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
| name | speckit-tasks.agent |
| description | Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts. |
| compatibility | Requires spec-kit project structure with .specify/ directory |
| metadata | {"author":"github-spec-kit","source":"templates/commands/tasks.agent.md"} |
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Check for extension hooks (before tasks generation):
.specify/extensions.yml exists in the project root.hooks.before_tasks keyenabled: truecondition expressions:
condition field, or it is null/empty, treat the hook as executablecondition, skip the hook and leave condition evaluation to the HookExecutor implementationoptional flag:
optional: true):
## Extension Hooks
**Optional Pre-Hook**: {extension}
Command: `/{command}`
Description: {description}
Prompt: {prompt}
To execute: `/{command}`
optional: false):
## Extension Hooks
**Automatic Pre-Hook**: {extension}
Executing: `/{command}`
EXECUTE_COMMAND: {command}
Wait for the result of the hook command before proceeding to the Outline.
.specify/extensions.yml does not exist, skip silentlySetup: Run .specify/scripts/bash/check-prerequisites.sh --json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").
Load design documents: Read from FEATURE_DIR:
Execute task generation workflow:
Generate tasks.md: Use .specify/templates/tasks-template.md as structure, fill with:
Report: Output path to generated tasks.md and summary:
Check for extension hooks: After tasks.md is generated, check if .specify/extensions.yml exists in the project root.
hooks.after_tasks keyenabled: truecondition expressions:
condition field, or it is null/empty, treat the hook as executablecondition, skip the hook and leave condition evaluation to the HookExecutor implementationoptional flag:
optional: true):
## Extension Hooks
**Optional Hook**: {extension}
Command: `/{command}`
Description: {description}
Prompt: {prompt}
To execute: `/{command}`
optional: false):
## Extension Hooks
**Automatic Hook**: {extension}
Executing: `/{command}`
EXECUTE_COMMAND: {command}
.specify/extensions.yml does not exist, skip silentlyContext for task generation: $ARGUMENTS
The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.
CRITICAL: Tasks MUST be organized by user story to enable independent implementation and testing.
Tests are OPTIONAL: Only generate test tasks if explicitly requested in the feature specification or if user requests TDD approach.
Every task MUST strictly follow this format:
- [ ] [TaskID] [P?] [Story?] Description with file path
Format Components:
- [ ] (markdown checkbox)Examples:
- [ ] T001 Create project structure per implementation plan- [ ] T005 [P] Implement authentication middleware in src/middleware/auth.py- [ ] T012 [P] [US1] Create User model in src/models/user.py- [ ] T014 [US1] Implement UserService in src/services/user_service.py- [ ] Create User model (missing ID and Story label)T001 [US1] Create model (missing checkbox)- [ ] [US1] Create User model (missing Task ID)- [ ] T001 [US1] Create model (missing file path)From User Stories (spec.md) - PRIMARY ORGANIZATION:
From Contracts:
From Data Model:
From Setup/Infrastructure: