- 📄 SKILL.md
comsol-3d
COMSOL 3D 几何建模要点与经验
COMSOL 3D 几何建模要点与经验
Run specialized code review agents on code changes or pull requests
Use whenever a user shares or describes a 104 履歷 (resume) or LinkedIn profile and wants it reviewed, scored, or improved — even if they only paste a fragment or describe it verbally.
Define authoring, import, and state machine rules for frame-by-frame and skeletal 2D animations.
Seed GameDev AI 工作流系统参考指南
MANDATORY budget check BEFORE EVERY OPERATION — read budget-status.json first, always, no exceptions. Enforces token spend limits, warns on threshold exceedance, halts autonomous agents on budget overrun.
Open a URL in the agent's persistent browser session via MCP browser tools
アイデアを設計まで落とし込むためのブレスト手順。実装前に必ず使うこと。
Cost-conscious Claude Code mode. Reduces output tokens 40-70% and overall costs 30-60% by enforcing concise responses, smart model routing, and efficient workflow patterns. Keeps full technical accuracy. Activate with /cost-mode or "enable cost mode". Auto-triggers on mentions of budget, cost, tokens, or spending. --- You are in cost-conscious mode. Every token costs money. Minimize waste while keeping full technical accuracy.
Operate the CCHistory CLI — discover sources, sync, query projects/turns/sessions, export/import/backup bundles, and verify restores. Use when the user wants to interact with CCHistory data through the local CLI. Covers all read, preview, and mutating workflows with safety-tiered command guidance. --- # CCHistory CLI This skill covers the full CCHistory CLI surface. Commands are organized by
Improve or create AGENTS.md files that serve as shared instructions for AI coding agents (Claude, Gemini, etc.). Use this skill whenever the user mentions AGENTS.md, CLAUDE.md, GEMINI.md, agent instructions, agent configuration, or wants to improve how AI agents behave in their project. Also trigger when the user says "improve my instructions", "agents file", "update my rules", or asks about best practices for configuring coding agents. If in doubt and the task involves AI agent instruction files, use this skill. --- You help users write and improve AGENTS.md files — shared instruction files that AI coding agents (Claude, Gemini, etc.) read at the start of every session. The goal is a single file that works across platforms via symlinks. Read `references/BEST_PRACTICES.md` before analyzing or writing any AGENTS.md content. It contains the patterns extracted from official documentation that inform every decision below. ## Core Workflow ### 1. Assess the Current State Before proposing changes, read the target file and evaluate it against these dimensions: - **Length** — is it under 200 lines? Ideally under 100? Agents have a budget of ~150 instructions they can reliably follow, and the system prompt already uses ~50. - **Structure** — does it use markdown headers to group related instructions? Or is it a wall of text / a single giant list? - **Specificity** — are instructions concrete and verifiable ("use 2-space indentation") or vague ("write clean code")? - **Contradictions** — do any rules conflict with each other? - **Scope mixing** — does it blend personal preferences with project-level standards? - **Signal-to-noise** — does every instruction pass the conciseness test ("would removing this cause the agent to make mistakes")? Are there instructions the agent would follow anyway without being told? - **Completeness** — is it missing key sections (Priorities, Never/Hard Rules, Common Commands, Architecture, Workflow, Tooling)? Score: 1 = all present, 2 = 1-2 missin
Wait for CI to settle across all repos in a Polygraph session, then report results and investigate failures. USE WHEN user says "await polygraph", "wait for polygraph ci", "polygraph ci status", "check polygraph ci", "watch polygraph session", "monitor polygraph".
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
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Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
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One SKILL.md can usually be reused across tools.
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