تشغيل أي مهارة في Manus بنقرة واحدة

estimate-tokens

النجوم٢٨

التفرعات٣

آخر تحديث١٩ يوليو ٢٠٢٦ في ٠٩:٤٣

Estimate token count for files using the bundled script. TRIGGER: "estimate tokens", "count tokens", "token usage", "context window size". DO NOT USE: for manual token math — always run the script.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

تشغيل في Manus

المصدر

xg-gh-25

xg-gh-25/SwarmAI

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

تشغيل في Manus

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

مطوّرو البرمجياتمهن الحاسوب والرياضيات·SOC 15-1252

مستكشف الملفات

5 ملفات

SKILL.md

readonly

name	estimate-tokens
description	Estimate token count for files using the bundled script. TRIGGER: "estimate tokens", "count tokens", "token usage", "context window size". DO NOT USE: for manual token math — always run the script.
version	1.0.0
tags	["skill","estimate-tokens","tokens","word-count","ai","context-window"]
tier	lazy

Token Estimator

This skill loads full instructions on activation. Read INSTRUCTIONS.md before proceeding.

TRIGGER: "estimate tokens", "count tokens", "token usage", "context window size" DO NOT USE: for manual token math — always run the script

المزيد من هذا المستودع

نفس المستودع

autonomous-pipeline

xg-gh-25/SwarmAI

Orchestrate the full AIDLC Autonomous Pipeline from a one-sentence requirement to a PR-ready delivery with TDD methodology. DDD drives judgment, SDD produces specs, TDD verifies delivery. Stages: Evaluate, Think, Plan, Build, Review, Test, Deliver, Reflect. Checkpoints on BLOCK or context limits. TRIGGER: "run pipeline", "autonomous pipeline", "pipeline for", "full pipeline". NOT FOR: single stages (use evaluate, deep-research, code-review, qa, deliver directly).

2026-07-2128

ddd-pipeline

xg-gh-25/SwarmAI

DDD-native autonomous dev loop — judge→execute→reflect on a SINGLE DDD via a bundled, decoupled engine (engine/artifact_cli.py, file-based .artifacts/ state, NO data.db, NO SwarmAI backend). Retains the moat: Gate-2 adversarial-before-commit + the 养成 ladder. DDD-native decouple of SwarmAI's s_autonomous-pipeline engine. TRIGGER: "ddd pipeline", "run the ddd loop", "build in this ddd". NOT FOR: SwarmAI's own multi-project pipeline (that's the native s_autonomous-pipeline).

2026-07-2028

ddd-distribute

xg-gh-25/SwarmAI

Package a grown DDD into a distributable capability package — the last step of the DDD lifecycle (cultivate → version → DISTRIBUTE). Human-in-the-loop: reads the DDD's OWN declared reach (aim.json distribution block = the ceiling), confirms which declared target(s) to emit NOW, renders BOTH standard shapes on demand — an internal AIM capabilities package (Config+AIMBuild+agent-spec) and/or an Open-Plugins plugin (.plugin/plugin.json) — runs a fail-closed content-safety scan over the emitted tree, and returns the built package path. Never widens reach by inference; emit ≠ publish. TRIGGER: "distribute this ddd", "package ddd", "ship ddd to kiro/quick/claude code", "publish ddd", "make a plugin from this ddd". NOT FOR: creating/binding a DDD (s_ddd-manager); running the pipeline (s_ddd-pipeline); publishing content/media (s_ddd-pollinate).

2026-07-2028

project-manager

xg-gh-25/SwarmAI

Create, list, edit, rename, and delete DDD projects (Domain-Driven Design) — provisions the canonical six-section DDD structure. Each project gets 4 knowledge documents (PRODUCT.md, TECH.md, IMPROVEMENT.md, PROJECT.md) and an .artifacts/ directory for pipeline outputs. TRIGGER: "add project", "new project", "create project", "rename project", "create DDD". NOT FOR: radar-todo use cases.

2026-07-2028

swarm-release

xg-gh-25/SwarmAI

Full SwarmAI release cycle: preflight checks, version bump, binary build, desktop package, smoke test, and GitHub publish. Supersedes s_release (which only does version bump + tag) by adding build/package/smoke stages. TRIGGER: "release", "cut release", "ship it", "发版". NOT FOR: s_swarm-build, s_release, s_swarm-hive use cases.

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persist

xg-gh-25/SwarmAI

Persist knowledge to the correct destination — routes to DDD docs (PRODUCT/TECH/IMPROVEMENT/PROJECT), MEMORY.md, Knowledge/Library/ (searchable store), or EVOLUTION.md based on content type. Unified routing for both manual saves and auto hooks. TRIGGER: "remember", "save", "persist", "沉淀", "record this", "save to DDD", "save lessons". NOT FOR: save-context, save-activity, self-evolution (governance rules) use cases.

2026-07-1828