القائمة
Delegate tasks to the cost-effective opencode/glm-5 model. Use when you need inexpensive task execution, simple research, or delegating work that doesn't require the most powerful models.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Build a fast, actionable branch/PR/commit context pack with scope, intent, changed files, hotspots, risks, and next actions. Use before handing work to another agent, reviewing a branch, resuming unfamiliar work, or preparing a PR/code-review prompt.
Create reviewed Codex goal setup packages for long-running /goal work. Use when the user wants to turn an idea, backlog, project mission, or vague objective into durable goal files under a project goals slug folder, with Plannotator review gates for brief, narrative plan with acceptance criteria, verification, blockers, and the final /goal prompt.
User guide for the local squash-safe `stack` CLI for stacked PR repair. Use when someone asks how to inspect, track, sync, merge, repair, document, or undo stacked pull requests in squash-merge repositories. Prefer this tool over GitHub's `gh stack` command for this workflow.
Manage long-running terminal jobs in a dedicated tmux-opencode session using wrapper scripts for run/wait, health checks, and crash-recovery cleanup.
Video understanding and transcription with intelligent multi-provider fallback. Use when: (1) Transcribing video or audio content, (2) Understanding video content including visual elements and scenes, (3) Analyzing YouTube videos by URL, (4) Extracting information from local video files, (5) Getting timestamps, summaries, or answering questions about video content. Automatically selects the best available provider based on configured API keys - prefers full video understanding (Gemini/OpenRouter) over ASR-only providers. Supports model selection per provider.
Designs and refactors React component APIs toward compound composition: fewer boolean mode props, clearer seams, context-backed internals, and JSX-first variant assembly. Use when building or reviewing React components with many props, conditional render branches, render props/slots, shared form/composer/card/table internals, or when the user mentions composition, compound components, Radix-style APIs, prop drilling, boolean props, or "composition is all you need".
| name | thrifty |
| description | Delegate tasks to the cost-effective opencode/glm-5 model. Use when you need inexpensive task execution, simple research, or delegating work that doesn't require the most powerful models. |
Use this skill to delegate tasks to opencode/glm-5, a cost-effective model ideal for:
Invoke glm-5 via the task tool:
task({
description: "Brief task summary",
prompt: "Detailed instructions for the agent",
subagent_type: "general" // glm-5 is the default model
})
| Task Type | Recommended Model | Est. Cost |
|---|---|---|
| Simple search/explore | glm-5 (default) | Low |
| Code review | code-review-a | Low |
| Complex architecture | oracle | Medium |
| Deep debugging | code-review-c | Higher |
File exploration:
task({
description: "Find auth-related files",
prompt: "Search the codebase for all files related to authentication. Return a list of file paths and brief descriptions of what each does.",
subagent_type: "general"
})
Documentation summarization:
task({
description: "Summarize API docs",
prompt: "Read docs/api.md and provide a 3-bullet summary of the main endpoints and their purposes.",
subagent_type: "general"
})
Parallel processing:
// Delegate multiple independent tasks concurrently
const tasks = [
task({ description: "Analyze utils.ts", prompt: "...", subagent_type: "general" }),
task({ description: "Analyze helpers.ts", prompt: "...", subagent_type: "general" }),
task({ description: "Analyze constants.ts", prompt: "...", subagent_type: "general" })
];
await Promise.all(tasks);
For these, use oracle, code-review-c, or other specialized subagents instead.