rtk-optimizer
Optimize command outputs with RTK (Rust Token Killer) for 70% token reduction
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Optimize command outputs with RTK (Rust Token Killer) for 70% token reduction
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Analyze a GitHub pull request including diff, comments, related issues, and local code context
STRIDE threat modeling before implementing security-sensitive features
Create a simple PR from staged changes with an auto-generated commit message
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
<name>technical-interview-mastery</name>
Multi-tenant, callable voice assistant platform for company-specific information.
> **Note:** This file provides a quick reference. For comprehensive guidance, see [`.github/copilot-instructions.md`](.github/copilot-instructions.md) (single source of truth, GitHub standard filename).
The Brigade core is fully operational. Here's what you need to know:
See [ARCHITECTURE.md](./ARCHITECTURE.md) for more information about how the code
本文件面向在 VLA-Handbook 仓库中工作的自动化/AI agent,说明写作与维护规范。
The call intelligence system uses a multi-agent orchestration architecture where 6 specialized AI agents process call transcripts in parallel, each producing domain-specific artifacts. The orchestration layer coordinates agent execution, deduplicates outputs, and routes artifacts through approval wo
generic skill
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
generic skill
This file contains only package-specific guidance for automated agents working on the `@mtngtools/mtng-unstorage` package. See below for additional guidance.
This document provides global instructions and guidelines for AI agents working on projects within the ESCEMI organization. All agents should follow these principles to ensure consistency, quality, and alignment with our organizational values.
To create a component library using the Jaxs JSX rendering and application
This file contains information about using various tools and commands in this project.
* Responses may be in **Russian** or **English**, as appropriate.