AgentSkillsCN

plan-inline

根据直接的功能需求,制定 TDD 实施计划。当用户给出诸如“添加 X 功能”、“创建 Y 函数”或“实现 Z”之类的任务描述时,可使用此技能。系统会在 Todo 状态下创建 Linear 问题。相较于需要纳入待办列表跟踪的临时需求,“plan-todo”更为高效。

SKILL.md
--- frontmatter
name: plan-inline
description: Create TDD implementation plans from direct feature requests. Use when user provides a task description like "add X feature", "create Y function", or "implement Z". Creates Linear issues in Todo state. Faster than plan-todo for ad-hoc requests that don't need backlog tracking.
argument-hint: <task description>
allowed-tools: Read, Edit, Write, Glob, Grep, Task, Bash, mcp__linear__list_issues, mcp__linear__get_issue, mcp__linear__create_issue, mcp__linear__update_issue, mcp__linear__list_issue_labels, mcp__linear__list_issue_statuses
disable-model-invocation: true

Create a TDD implementation plan directly from inline instructions in $ARGUMENTS. Creates Linear issues in Todo state.

Git Pre-flight Check

Before doing anything else, verify git state:

  1. Check current branch: git branch --show-current
  2. If NOT on main or master:
    • STOP with message: "Not on main branch. Please switch to main before planning: git checkout main"
  3. Check for uncommitted changes: git status --porcelain
  4. If there are uncommitted changes:
    • STOP with message: "Main branch has uncommitted changes. Please commit or stash them first."
  5. Check if branch is up-to-date with remote: git fetch origin && git status -uno
  6. If behind remote:
    • STOP with message: "Main branch is behind remote. Please pull latest: git pull origin main"

Only proceed to PLANS.md check if git state is clean.

Purpose

  • Convert inline task descriptions into actionable TDD implementation plans
  • Create Linear issues in Todo state for each task (bypasses Backlog)
  • Explore codebase to understand existing patterns and find relevant files
  • Use MCPs to gather additional context (Drive files, spreadsheets, deployments)
  • Generate detailed, implementable plans with full file paths and Linear issue links

When to Use

Use plan-inline instead of plan-todo when:

  • The user provides a clear feature request or task description directly
  • The task doesn't need to go through Linear Backlog first
  • Quick planning without backlog management overhead

Use plan-todo instead when:

  • Working from existing backlog items
  • Managing multiple items that should be tracked

Pre-flight Check

Before doing anything, read PLANS.md and check for incomplete work:

  • If PLANS.md has content but NO "Status: COMPLETE" at the end → STOP
  • Tell the user: "PLANS.md has incomplete work. Please review and clear it before planning new items."
  • Do not proceed.

If PLANS.md is empty or has "Status: COMPLETE" → proceed with planning.

Arguments

$ARGUMENTS should contain the task description with context:

  • What to implement or change
  • Expected behavior
  • Any constraints or requirements
  • Related files if known

Example arguments:

  • Add a function to validate CUIT numbers with modulo 11 algorithm
  • Create a new route /api/retry that retries failed documents
  • Update resumen_tarjeta extraction to handle Naranja card format

Context Gathering

IMPORTANT: Do NOT hardcode MCP names or folder paths. Always read CLAUDE.md to discover:

  1. Available MCP servers - Look for the "MCP SERVERS" section to find:

    • Google Drive MCP for file access (gdrive_search, gdrive_read_file, gsheets_read, etc.)
    • Railway MCP for deployment context (get-logs, list-deployments, list-services, list-variables)
    • Gemini MCP for prompt testing (gemini_analyze_pdf)
  2. Folder structure - Look for "FOLDER STRUCTURE" section to understand:

    • Where documents are stored
    • Naming conventions for folders
  3. Project structure - Look for "STRUCTURE" section to understand:

    • Source code organization
    • Test file locations
    • Where to add new files
  4. Spreadsheet schemas - Look for "SPREADSHEETS" section or read SPREADSHEET_FORMAT.md

Workflow

  1. Git pre-flight check - Ensure on clean main branch (see Git Pre-flight Check section)
  2. Read PLANS.md - Pre-flight check
  3. Read CLAUDE.md - Understand TDD workflow, agents, project rules, available MCPs
  4. Parse $ARGUMENTS - Understand what needs to be implemented
  5. Explore codebase - Use Glob/Grep/Task to find relevant files and understand patterns
  6. Gather MCP context - If the task relates to:
    • Document processing → Check Drive files, spreadsheet schemas
    • Deployment → Check service status, recent logs
    • Extraction issues → Check current prompts, test with Gemini MCP
  7. Generate plan - Create TDD tasks with test-first approach
  8. Write PLANS.md - Overwrite with new plan
  9. Create Linear issues - Create issues in Todo state for each task

Codebase Exploration Guidelines

When to explore:

  • Always explore to find existing patterns before creating new code
  • Find related tests to understand testing conventions
  • Locate where similar functionality already exists

How to explore:

  • Use Glob for finding files by pattern: src/**/*.ts, **/*.test.ts
  • Use Grep for finding code: function names, type definitions, error messages
  • Use Task with subagent_type=Explore for broader questions about the codebase

What to discover:

  • Existing functions that could be reused or extended
  • Test file conventions and patterns
  • Type definitions to reuse
  • Similar implementations to follow as templates

PLANS.md Structure

markdown
# Implementation Plan

**Created:** YYYY-MM-DD
**Source:** Inline request: [Summary of $ARGUMENTS]
**Linear Issues:** [ADVA-123](https://linear.app/...), [ADVA-124](https://linear.app/...)

## Context Gathered

### Codebase Analysis
- **Related files:** [files found through exploration]
- **Existing patterns:** [patterns to follow]
- **Test conventions:** [how tests are structured in this area]

### MCP Context (if applicable)
- **MCPs used:** [which MCPs were consulted]
- **Findings:** [relevant information discovered]

## Original Plan

### Task 1: [Name]
**Linear Issue:** [ADVA-123](https://linear.app/...)

1. Write test in [file].test.ts for [function/scenario]
2. Run verifier (expect fail)
3. Implement [function] in [file].ts
4. Run verifier (expect pass)

### Task 2: [Name]
**Linear Issue:** [ADVA-124](https://linear.app/...)

1. Write test...
2. Run verifier...
3. Implement...
4. Run verifier...

## Post-Implementation Checklist
1. Run `bug-hunter` agent - Review changes for bugs
2. Run `verifier` agent - Verify all tests pass and zero warnings

---

## Plan Summary

**Objective:** [One sentence describing what this plan accomplishes]

**Request:** [Brief paraphrase of the original $ARGUMENTS]

**Linear Issues:** [ADVA-123, ADVA-124, ...]

**Approach:** [2-3 sentences describing the implementation strategy at a high level]

**Scope:**
- Tasks: [count]
- Files affected: [estimated count]
- New tests: [yes/no]

**Key Decisions:**
- [Important architectural or design decision 1]
- [Important decision 2, if any]

**Risks/Considerations:**
- [Any risks or things to watch out for]

Linear Issue Creation

After writing PLANS.md, create a Linear issue for each task:

  1. Use mcp__linear__create_issue with:

    • team: "ADVA Administracion"
    • title: Task name
    • description: Task details from PLANS.md
    • state: "Todo"
    • labels: Infer from task type (Feature, Improvement, Bug)
  2. Update PLANS.md to add **Linear Issue:** [ADVA-N](url) to each task

Task Writing Guidelines

Each task must be:

  • Self-contained - Full file paths, clear descriptions
  • TDD-compliant - Test before implementation
  • Specific - What to test, what to implement
  • Ordered - Dependencies resolved by task order
  • Context-aware - Reference patterns and files discovered during exploration

Good task example:

markdown
### Task 1: Add validateCuit function
1. Write test in src/utils/validation.test.ts for validateCuit
   - Test valid CUIT returns true (use existing test fixtures)
   - Test invalid checksum returns false
   - Test invalid format returns false
   - Follow existing validation function patterns
2. Run verifier (expect fail)
3. Implement validateCuit in src/utils/validation.ts
   - Use modulo 11 algorithm
   - Follow existing function signature patterns
4. Run verifier (expect pass)

Bad task example:

markdown
### Task 1: Add CUIT validation
1. Add function
2. Test it

MCP Usage Guidelines

Discover available MCPs from CLAUDE.md's "MCP SERVERS" section. Common patterns:

File/Document MCPs - Use when task involves:

  • Document processing or extraction
  • Spreadsheet or database changes
  • File organization or storage

Deployment MCPs - Use when task involves:

  • Deployment configuration
  • Environment variables
  • Service logs for debugging context

AI/LLM MCPs - Use when task involves:

  • Prompt improvements
  • Extraction accuracy
  • Testing variations before implementation

If CLAUDE.md doesn't list MCPs, skip MCP context gathering.

Error Handling

SituationAction
PLANS.md has incomplete workStop and tell user to review/clear PLANS.md first
$ARGUMENTS is empty or unclearAsk user to provide a clearer task description
CLAUDE.md doesn't existContinue without project-specific rules, use general TDD practices
Codebase exploration times outContinue with partial context, note limitation in plan
MCP not availableSkip MCP context gathering, note in plan what was skipped
Task too vague to planAsk user for specific requirements before proceeding

Rules

  • Refuse to proceed if PLANS.md has incomplete work
  • Explore codebase before planning - Find patterns to follow
  • Use MCPs when relevant - Gather context from external systems (discover from CLAUDE.md)
  • Every task must follow TDD (test first, then implement)
  • No manual verification steps - use agents only
  • Tasks must be implementable without additional context
  • Always include post-implementation checklist
  • Create Linear issues in Todo state (bypasses Backlog)
  • Include Linear issue links in PLANS.md tasks

CRITICAL: Scope Boundaries

This skill creates plans. It does NOT implement them.

  1. NEVER ask to "exit plan mode" - This skill doesn't use Claude Code's plan mode feature
  2. NEVER implement code - Your job ends when PLANS.md is written
  3. NEVER ask ambiguous questions like "should I proceed?" or "ready to continue?"
  4. NEVER start implementing after writing the plan, even if user says "yes" to something

Termination

When you finish writing PLANS.md (and creating Linear issues), output the plan summary followed by the completion message:

code
✓ Plan created in PLANS.md
✓ Linear issues created in Todo: ADVA-123, ADVA-124, ...

## Plan Summary

**Objective:** [Copy from PLANS.md summary]

**Request:** [Copy from PLANS.md summary]

**Linear Issues:** [Copy from PLANS.md summary]

**Approach:** [Copy from PLANS.md summary]

**Scope:**
- Tasks: [count]
- Files affected: [estimated count]
- New tests: [yes/no]

**Key Decisions:**
- [List from PLANS.md summary]

**Risks/Considerations:**
- [List from PLANS.md summary]

---

Create a feature branch and commit the plan.

Then execute git workflow:

  1. Create a feature branch with proper naming:

    • Use feat/ prefix for new features
    • Use fix/ prefix for bug fixes
    • Use refactor/ prefix for refactoring
    • Branch name should be kebab-case, derived from the plan objective
    • Example: feat/validate-cuit-modulo11, refactor/extract-common-parser-utils
  2. Stage, commit, and push:

bash
git checkout -b <type>/<task-description> && git add PLANS.md && git commit -m "plan: <task-description>" && git push -u origin <type>/<task-description>

Do not ask follow-up questions. Do not offer to implement. Output the summary and stop.