ln-400-story-executor — for Claude Code ln-400-story-executor, ReGenCivics.Earth, community, for Claude Code, ide skills, shared, references, storyId, Extract, = Task Management → Provider (

v1.0.0

About this Skill

Ideal for AI agents that need story execution orchestrator. ln-400-story-executor is an AI agent skill for story execution orchestrator.

Features

Story Execution Orchestrator
Input Required Source Description
------- ---------- -------- -------------
storyId Yes args, git branch, kanban, user Story to process
Resolution: Story Resolution Chain.

# Core Topics

Rieki777 Rieki777
[0]
[0]
Updated: 4/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 10/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
10/11
Quality Score
70
Canonical Locale
en
Detected Body Locale
en

Ideal for AI agents that need story execution orchestrator. ln-400-story-executor is an AI agent skill for story execution orchestrator.

Core Value

ln-400-story-executor helps agents story execution orchestrator. Paths: File paths (shared/, references/, ../ln- ) are relative to skills repo root. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Ideal Agent Persona

Ideal for AI agents that need story execution orchestrator.

Capabilities Granted for ln-400-story-executor

Applying Story Execution Orchestrator
Applying Input Required Source Description
Applying ------- ---------- -------- -------------

! Prerequisites & Limits

  • Need automated orchestration through To Review
  • Fetch Story metadata and all child task metadata (ID/title/status/labels only):
  • Requires repository-specific context from the skill documentation

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is ln-400-story-executor?

Ideal for AI agents that need story execution orchestrator. ln-400-story-executor is an AI agent skill for story execution orchestrator.

How do I install ln-400-story-executor?

Run the command: npx killer-skills add Rieki777/ReGenCivics.Earth/ln-400-story-executor. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for ln-400-story-executor?

Key use cases include: Applying Story Execution Orchestrator, Applying Input Required Source Description, Applying ------- ---------- -------- -------------.

Which IDEs are compatible with ln-400-story-executor?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for ln-400-story-executor?

Need automated orchestration through To Review. Fetch Story metadata and all child task metadata (ID/title/status/labels only):. Requires repository-specific context from the skill documentation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Rieki777/ReGenCivics.Earth/ln-400-story-executor. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use ln-400-story-executor immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

ln-400-story-executor

Paths: File paths (shared/, references/, ../ln- ) are relative to skills repo root. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

Story Execution Orchestrator

Executes a Story end-to-end by looping through its tasks in priority order. Sets Story to To Review when all tasks Done (quality gate decides Done).

Inputs

InputRequiredSourceDescription
storyIdYesargs, git branch, kanban, userStory to process

Resolution: Story Resolution Chain. Status filter: Todo, In Progress

Purpose & Scope

  • Load Story + task metadata (no descriptions) and drive execution
  • Process tasks in order: To Review → To Rework → Todo (foundation-first within each status)
  • Delegate per task type to appropriate workers (see Worker Invocation table)
  • Mandatory immediate review: Every execution/rework → ln-402 immediately. No batching

Task Storage Mode

MANDATORY READ: Load shared/references/tools_config_guide.md, shared/references/storage_mode_detection.md, and shared/references/input_resolution_pattern.md

Extract: task_provider = Task Management → Provider (linear | file).

When to Use

  • Story is Todo or In Progress and has implementation/refactor/test tasks to finish
  • Need automated orchestration through To Review

Workflow

Phase 1: Discovery & Worktree Setup

MANDATORY READ: Load shared/references/git_worktree_fallback.md — use "Story execution" row.

  1. Resolve storyId (per input_resolution_pattern.md):
    • IF args provided → use args
    • ELSE IF git branch matches feature/{id}-* → extract id
    • ELSE IF kanban has exactly 1 Story in [Todo, In Progress] → suggest
    • ELSE → AskUserQuestion: show Stories from kanban filtered by [Todo, In Progress]
  2. Auto-discover Team ID/config from kanban_board.md + CLAUDE.md
  3. Get Story title from resolved storyId
  4. Generate branch name: feature/{identifier}-{story-title-slug} (lowercase, spaces→dashes, no special chars)
  5. Self-detection: git branch --show-current
    • If already on feature/* → use current worktree, skip to Phase 2
    • If on develop/main/master → create worktree + branch (per git_worktree_fallback.md lifecycle steps 1-3, worktree dir: .worktrees/story-{identifier})

Phase 2: Load Metadata

Fetch Story metadata and all child task metadata (ID/title/status/labels only):

  • Linear Mode: list_issues(parentId=Story.id)
  • File Mode: Glob("docs/tasks/epics/*/stories/{story-slug}/tasks/*.md") + parse **Status:**

Summarize counts (e.g., "2 To Review, 1 To Rework, 3 Todo"). NO analysis — proceed immediately.

Phase 3: Context Review (before Todo tasks)

Before delegating a Todo task, verify its plan against current codebase:

  1. Load task description (get_issue or Read task file)
  2. Extract referenced files from task plan
  3. Check: Do files exist? Have related files changed? Are patterns still valid?
  4. Decision: No conflicts → proceed | Minor changes → update task, proceed | Major conflicts → ask user

Skip Context Review for: To Review tasks, To Rework tasks, test tasks when impl freshly Done, tasks created <24h ago.

Phase 4: Task Loop

Priority order: To Review > To Rework > Todo (foundation-first within each status).

Group-based dispatch for Todo tasks:

  1. Parse Parallel Groups: Extract **Parallel Group:** {N} from each Todo task. Tasks without this field = each gets its own group (sequential, backward compatible).
  2. Process To Review / To Rework first (always sequential, one at a time).
  3. For each Parallel Group (ascending order):
    • Single task in group: Sequential execution (same as current behavior):
      1. Delegate to worker via Task tool
      2. After executor completes → immediately invoke ln-402 on same task
      3. Reload metadata (task count may change — ln-402 creates [BUG] tasks)
    • Multiple tasks in group: Parallel execution via Task tool subagents:
      1. Spawn all tasks in group concurrently (multiple Task tool calls in single message)
      2. Wait for ALL subagents to complete
      3. Review each task sequentially via ln-402 (one at a time — review cannot be parallelized)
      4. Reload metadata after all reviews
  4. If any worker sets status != To Review → STOP and report.

Execute → Review → Next. Never skip review. Reviews are always sequential (ln-402 inline).

Phase 5: Completion

When all tasks Done:

  1. Set Story status to To Review (Linear: update_issue(id, state: "To Review"); File: Edit the **Status:** line)
  2. Update kanban: move Story to To Review section
  3. Report final status with task counts
  • ⚠️ NEVER set Story to Done. Only the quality gate (5XX) can mark Story as Done after full quality check.
  • Recommended next step: quality gate for code quality and regression checks

Worker Invocation

CRITICAL: Executors (ln-401/ln-403/ln-404) use Task tool for context isolation. Reviewer (ln-402) runs inline via Skill tool in main flow.

StatusWorkerNotes
To Reviewln-402-task-reviewerInline (Skill tool). Load task by ID, review in main flow. No subagent.
To Reworkln-403-task-reworkThen immediate ln-402 on same task
Todo (tests)ln-404-test-executorThen immediate ln-402 on same task
Todo (impl)ln-401-task-executorThen immediate ln-402 on same task
Prompt templates:

Executors (ln-401/ln-403/ln-404) — Task tool (isolated context):

Task(description: "[Action] task {ID}",
     prompt: "Execute {skill-name} for task {ID}. Read skill from {skill-name}/SKILL.md.",
     subagent_type: "general-purpose")

Reviewer (ln-402) — Skill tool (main flow):

Skill(skill: "ln-402-task-reviewer", args: "{task-ID}")

Formats

TodoWrite (mandatory)

Before each task, add BOTH steps:

  1. Execute [Task-ID]: [Title] — mark in_progress when starting
  2. Review [Task-ID]: [Title] — mark in_progress after executor, completed after ln-402

Critical Rules

  1. Worktree isolation: All work in isolated worktree on feature/{story-id}-{slug}. Never modify main worktree
  2. Metadata first: Never load task descriptions in Phase 2; workers load full text
  3. One task at a time: Pick → delegate → review → next. No bulk operations
  4. Only ln-402 sets Done: Stop and report if any worker leaves task Done or In Progress
  5. Source of truth: Trust Linear metadata (Linear Mode) or task files (File Mode)
  6. Story status: ln-400 handles Todo→In Progress→To Review. NEVER set Story to Done — only the quality gate (5XX) can do that after full quality check
  7. Commit policy: Only ln-402 commits code. Workers (ln-401/ln-403/ln-404) leave changes uncommitted for ln-402 to review and commit.
  8. [BUG] tasks: ln-402 may create new [BUG] tasks mid-review. After metadata reload, reprioritize — new tasks processed in next loop iteration.
  9. Parallel groups: Tasks in same group execute concurrently via Task tool subagents. Reviews (ln-402) remain sequential. If **Parallel Group:** missing on any task, fall back to fully sequential execution.

Anti-Patterns

  • ❌ Running mypy/ruff/pytest directly instead of skill invocation
  • ❌ "Minimal quality check" then asking "Want me to run full skill?"
  • ❌ Skipping/batching reviews
  • ❌ Self-setting Done status without ln-402
  • ❌ Executors bypassing Task tool subagent (ln-402 is exception — runs inline)

ZERO TOLERANCE: If running commands directly instead of invoking skills, STOP and correct.

Plan Mode Support

When invoked in Plan Mode (agent cannot execute), generate execution plan instead:

  1. Build task execution sequence by priority
  2. For each task show: ID, Title, Status, Worker, expected status after
  3. Write plan to plan file, call ExitPlanMode

Plan Output Format:

## Execution Plan for Story {STORY-ID}: {Title}

| # | Task ID | Title | Status | Group | Executor | Reviewer |
|---|---------|-------|--------|-------|----------|----------|
| 1 | {ID} | {Title} | {Status} | {N} | ln-40X | ln-402 |

### Sequence
1. [Execute] {Task-1} via ln-401-task-executor
2. [Review] {Task-1} via ln-402-task-reviewer
...

Definition of Done

  • Working in correct feature branch (verified in Phase 1)
  • Story and task metadata loaded; counts shown
  • Context Review performed for Todo tasks (or skipped with justification)
  • Loop executed: all tasks delegated with immediate review after each
  • Story set to To Review (NOT Done); kanban updated
  • Final report with task counts and recommended next step: quality gate

Reference Files

  • Tools config: shared/references/tools_config_guide.md
  • Storage mode operations: shared/references/storage_mode_detection.md
  • Orchestrator lifecycle: shared/references/orchestrator_pattern.md
  • Task delegation pattern: shared/references/task_delegation_pattern.md
  • Auto-discovery patterns: shared/references/auto_discovery_pattern.md
  • Plan mode behavior: shared/references/plan_mode_pattern.md
  • MANDATORY READ: shared/references/git_worktree_fallback.md
  • Executors: ../ln-401-task-executor/SKILL.md, ../ln-403-task-rework/SKILL.md, ../ln-404-test-executor/SKILL.md
  • Reviewer: ../ln-402-task-reviewer/SKILL.md
  • Auto-discovery: CLAUDE.md, docs/tasks/kanban_board.md

Version: 4.0.0 Last Updated: 2026-01-29

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