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Launchpad Spec

skill-geono-claude-launchpad-launchpad-spec · by Geono

Spec-driven development framework with iterative refinement. Orchestrates feature development from intent to implementation via structured specs and task breakdown. Triggers on /lp:spec, /lp:refine, /lp:clarify, /lp:tasks, /lp:run-task.

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Install

$ agentstack add skill-geono-claude-launchpad-launchpad-spec

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Launchpad Spec

Iterative feature development framework ensuring zero ambiguity before execution.

Quick Reference

| Command | Purpose | Input | |---------|---------|-------| | /lp:spec | Create spec from "I want to build/add X" | Feature description | | /lp:refine [section] | Improve spec with research | Optional section focus | | /lp:clarify | Answer clarification questions | Your response | | /lp:tasks | Break spec into executable tasks | None (uses active spec) | | /lp:run-task [task#] | Execute tasks with TDD | Optional task number |

Core Principle

Iterate until clarity: No task execution begins until ALL questions are resolved and the spec is unambiguous. Claude must be able to execute without interruptions.


Phase 1: /lp:spec - Create Specification

Trigger: /lp:spec or "I want to build/add X"

Workflow

  1. Check specs/ folder:
  • If missing: Create specs/ and specs/README.md
  • If exists: Read specs/README.md for project overrides
  1. Detect project context:
  • Scan repo for language indicators (go.mod, pyproject.toml, package.json, etc.)
  • Note primary language(s) for later skill invocation
  • Check specs/README.md for language overrides
  1. Generate spec file:
  • Filename: specs/{feature-slug}.md (kebab-case)
  1. Fill initial sections:
  • Parse user intent into Objective
  • List initial requirements (functional/non-functional)
  • Mark status as DRAFT
  1. Generate clarifying questions:
  • Identify ambiguities, edge cases, unknowns
  • List as numbered questions in "Open Questions" section
  • STOP and present questions to user

Output

Created: specs/feature-name.md (DRAFT)

Questions requiring clarification:
1. [Question about scope]
2. [Question about behavior]
3. [Question about constraints]

Use `/lp:clarify` to answer, or `/lp:refine` to research solutions.

Phase 2: /lp:refine - Research & Improve

Trigger: /lp:refine [section] (e.g., /lp:refine solution, /lp:refine requirements)

Workflow

  1. Load active spec: Find most recent DRAFT spec in specs/
  1. Check project conventions:
  • Read specs/README.md for behavior overrides
  • Load relevant language skill (auto-detected or overridden)
  1. Research phase:
  • Search codebase for similar patterns
  • Check skill references for best practices
  1. Update spec:
  • Fill "Technical Strategy" with concrete approach
  • Add architecture decisions with rationale
  • Update requirements based on findings
  1. Re-evaluate clarity:
  • Are there new questions?
  • Are existing questions resolved?
  • If questions remain: STOP and present them

Phase 3: /lp:clarify - Answer Questions

Trigger: /lp:clarify or /lp:clarify Q1: answer, Q2: answer

Workflow

  1. Load active spec with open questions
  1. Parse user response:
  • Match answers to numbered questions
  • Accept free-form responses for single questions
  1. Update spec:
  • Move answered questions to relevant sections
  • Add decisions/constraints to Requirements or Strategy
  • Remove resolved questions from "Open Questions"
  1. Check for new questions:
  • Does the answer introduce new ambiguities?
  • If questions remain: present them
  • If no questions: announce spec is ready for /lp:tasks

Example

User: /lp:clarify Q1: We need OAuth2 with Google provider only. Q2: No, admin can also delete.

Updated specs/auth-system.md:
- Added OAuth2/Google to Technical Strategy
- Updated permissions: admin can delete

Remaining questions: None
Spec is ready. Use `/lp:tasks` to create task breakdown.

Phase 4: /lp:tasks - Task Breakdown

Trigger: /lp:tasks

Prerequisites

  • Active spec must have status DRAFT or APPROVED
  • "Open Questions" section must be empty
  • If questions exist: STOP and redirect to /lp:clarify

Workflow

  1. Validate spec readiness:

`` If open_questions > 0: ERROR: Spec has unresolved questions. Use /lp:clarify first. ``

  1. Mark spec as APPROVED
  1. Generate task file: specs/{feature-slug}.tasks.md
  1. Break down by component:
  • Group tasks by logical component/module
  • Each task = one logical unit (not TDD-granular)
  • TDD practice enforced during /lp:run-task, not here
  1. Add task metadata:
  • Link back to spec
  • Context summary
  • Acceptance criteria per task
  1. Final review:
  • Present task list to user
  • Ask: "Any tasks missing or need splitting?"

Task Granularity

Tasks should be high-level logical units:

  • "Implement authentication middleware"
  • "Create user model and repository"
  • "Add API endpoints for user CRUD"

TDD cycle (Red-Green-Refactor) happens WITHIN each task during /lp:run-task.


Phase 5: /lp:run-task - Execute Tasks

Trigger: /lp:run-task [task#] (e.g., /lp:run-task, /lp:run-task 3)

Prerequisites

  • Task file must exist: specs/{feature}.tasks.md
  • If no task file: STOP and redirect to /lp:tasks

Workflow

  1. Load task file and find next unchecked task (or specified task#)
  1. Load context:
  • Read linked spec for requirements
  • Read specs/README.md for project overrides
  1. Execute with TDD:
  • RED: Write failing test first
  • GREEN: Minimal code to pass
  • REFACTOR: Clean up
  • COMMIT: After each phase
  1. Update task file:
  • Mark task as [x] complete
  • Add notes if needed
  1. Continue or pause:
  • If more tasks: Ask "Continue to next task?"
  • If blocked: Document blocker, ask for input
  • If all done: Mark spec as COMPLETED

Execution Rules

  • No interruptions: If questions arise during execution, the spec was not ready
  • Respect hooks: Pre-commit hooks must pass before marking complete

Project Configuration: specs/README.md

Override default behaviors per-project:

# Spec Configuration

## Language Override
Primary: golang
Secondary: python

## Conventions
- All specs require security section
- Tasks must include rollback plan
- Use feature branches: feature/{spec-name}

## Templates
Use custom templates from: ./templates/

## Auto-invoke
- Always run /trivy before marking complete

State Management

Spec Status Flow

DRAFT -> APPROVED -> IN_PROGRESS -> COMPLETED
          |              |
          v              v
       (questions?)   (blocked?)
          |              |
          v              v
        DRAFT      IN_PROGRESS

File Structure

project/
└── specs/
    ├── README.md           # Project overrides
    ├── auth-system.md      # Spec (APPROVED)
    ├── auth-system.tasks.md # Task breakdown
    ├── user-dashboard.md   # Spec (DRAFT)
    └── ...

Session Resume

On context compaction or session resume:

  1. Check specs/ for files with status IN_PROGRESS
  2. Check .tasks.md files for unchecked items
  3. Report: "Found in-progress spec: X with Y tasks remaining"
  4. Ask: "Continue with /lp:run-task?"

Error Handling

| Situation | Response | |-----------|----------| | /lp:tasks with open questions | "Spec has N unresolved questions. Use /lp:clarify first." | | /lp:run-task without task file | "No task file found. Use /lp:tasks first." | | /lp:clarify without active spec | "No active spec. Use /lp:spec to create one." | | Ambiguity during /lp:run-task | "Execution blocked: [issue]. Spec needs refinement. Use /lp:refine." |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.