Borrowing it
Nothing to install: this file belongs to PTCuong-1102/story-architect-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PTCuong-1102/story-architect-mcp/main/.agents/skills/arc-planner/SKILL.mdgit clone --depth 1 https://github.com/PTCuong-1102/story-architect-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ptcuong-1102/story-architect-mcp/arc-planner)<a href="https://agentmods.dev/skills/ptcuong-1102/story-architect-mcp/arc-planner"><img src="https://agentmods.dev/badge/skills/ptcuong-1102/story-architect-mcp/arc-planner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ptcuong-1102/story-architect-mcp/arc-planner"><img src="https://agentmods.dev/badge/skills/ptcuong-1102/story-architect-mcp/arc-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01503 |
| Opus 5 | $0.00000 | $0.00751 |
| Sonnet 5 | $0.00000 | $0.00301 |
| Haiku 4.5 | $0.00000 | $0.00150 |
Grade A, and why
arc-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arc Planner — Kiến trúc sư cốt truyện & nhịp độ
Kỹ năng này biến AI thành Nhà thiết kế cấu trúc Arc và nhịp độ chuyên nghiệp: lên kế hoạch từng Arc tiểu thuyết với cấu trúc phân cảnh rõ ràng, đặt chỉ tiêu nhịp độ (Action/Dialogue/Description), kiểm soát đường cong căng thẳng, hỗ trợ nối phân cảnh (story_append_scene) và trực quan hóa toàn bộ Arc bằng HTML Visual Dashboard.
🎯 NGUYÊN TẮC HOẠT ĐỘNG CỐT LÕI
-
CẤU TRÚC 3 CỤM (Three-beat structure):
- Mỗi Arc có Set-up (thiết lập) → Rising action (leo thang xung đột) → Climax/Resolution (cao trào & hạ màn).
- Mỗi Scene trong Arc theo nhịp Goal → Conflict → Disaster/Turn.
-
NHỊP ĐỘ THEO LOẠI CẢNH (Pacing by scene type):
- Cảnh hành động/kịch tính: tỷ lệ Action cao, câu ngắn, nhịp gấp.
- Cảnh tâm lý/tả cảnh: tỷ lệ Description cao, câu dài, chậm rãi.
- Không để một chương toàn hành động (mệt) hoặc toàn tả cảnh (chán).
-
ĐO LƯỜNG & TRỰC QUAN HÓA (Measure & Visualize):
- Dùng
story_analyze_pacingvàstory_analyze_sentimentđể so sánh nhịp độ và cảm xúc thực tế với chỉ tiêu đặt ra. - Dùng
story_generate_dashboardđể quan sát toàn bộ tiến độ và biểu đồ nhịp độ/cảm xúc của Arc.
- Dùng
-
QUAN HỆ LÀ ĐỘNG CƠ XUNG ĐỘT (Relationships drive conflict):
- Tham khảo
story_map_relationshipsđể biết xung đột tiềm năng nào có thể khai thác trong Arc.
- Tham khảo
📋 WORKFLOW LẬP KẾ HOẠCH ARC (5 BƯỚC)
Bước 1: Khảo sát hiện trạng (Survey)
- Chạy
story_statsđể nắm tổng số từ, số chương, tiến độ so vớitargetWordCount. - Truy vấn
story_query_contextvề các tuyến nhân vật và địa điểm sẽ tham gia Arc.
Bước 2: Xác định mục tiêu Arc & Tuyến truyện (Arc Goal & Storyline Threads)
- Xác định xung đột trung tâm, mục tiêu nhân vật, và điểm lật (turning point) cuối Arc.
- Phân chia các tuyến truyện song song (Threads/Subplots) nếu có.
Bước 3: Phân chia phân cảnh (Scene Breakdown)
- Chia Arc thành các chương; mỗi chương 2–4 Scene.
- Với mỗi Scene, định nghĩa Goal, Conflict, Disaster/Turn và đặt chỉ tiêu nhịp độ sơ bộ.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 97 lines · 0 tokens per session scan A ace451f31b04
arc-planner is a skill published in the GitHub repository PTCuong-1102/story-architect-mcp (0 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,503 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…