Agent skill

kimi-k2.5

Kimi K2.5 setup and usage patterns. Most capable subagent with 256K context and built-in vision. Use for complex reasoning and batch image analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill kimi-k2-5-opensourcesam-v2-heras-garden --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-llm/kimi-k2-5-opensourcesam-v2-heras-garden/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Kimi K2.5 Integration ## Overview Kimi K2.5 is the **most capable subagent** available in this project. Use it when tasks require: - Complex multi-step reasoning - Batch image/vision analysis (10+ images) - Very long context understanding (256K tokens) - Thinking mode for difficult problems --- ## Quick Setup ### Launcher Script ```powershell .\scripts\start-kimi.ps1 ``` ### Manual Environment Setup ```powershell $env:ANTHROPIC_BASE_URL = "https://api.moonshot.cn/anthropic/" $env:ANTHROPIC_API_KEY = "<KIMI_API_KEY>" $env:ANTHROPIC_MODEL = "kimi-k2.5-thinking" $env:ANTHROPIC_SMALL_FAST_MODEL = "kimi-k2-turbo-preview" ``` --- ## Available Models | Model | Use Case | Context | |-------|----------|---------| | `kimi-k2.5-thinking` | Complex reasoning, main tasks | 256K | | `kimi-k2-turbo-preview` | Fast simple tasks | 256K | **Tip:** The `-thinking` variant uses chain-of-thought reasoning, making it better for complex problems but slower for simple queries. --- ## When to Use Kimi K2.5 ### ✅ Use Kimi For: - **Complex reasoning** requiring multiple steps - **Batch vision** (10+ images to analyze) - **Long documents** (large codebase exploration) - **Difficult problems** where GLM/Mini

What's inside
Steps it walks through
  1. Overview
  2. Quick Setup
  3. Launcher Script
  4. Manual Environment Setup
  5. Available Models
  6. When to Use Kimi K2.5
  7. ✅ Use Kimi For:
  8. ❌ Don't Use Kimi For:
  9. Vision Capabilities
  10. Single Image Analysis
  11. Batch Image Analysis
  12. Delegation Patterns
  13. Pattern 1: Fallback After GLM Fails
  14. Pattern 2: Long-Context Research
Ships with 1 file
  • metadata.json
Commands it runs
curl -s -X POST "https://api.moonshot.cn/anthropic/v1/messages" \
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About this skill
What does the kimi-k2.5 skill do?

Kimi K2.5 setup and usage patterns. Most capable subagent with 256K context and built-in vision. Use for complex reasoning and batch image analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill kimi-k2-5-opensourcesam-v2-heras-garden --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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