This skill should be used when writing, reviewing, converting, or executing terminal commands for native Windows PowerShell on Windows, including requests like "convert this Bash command", "use PowerShell syntax", "Windows Terminal command", "run this on Windows", or "fix this PowerShell command". It keeps commands in…
Use when connecting a REST API to an MCP client, setting up mcp-openapi-proxy, exposing an OpenAPI-backed navigator/executor MCP server, or authenticating with OIDC/static tokens for API proxying.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Use when designing, orchestrating, or executing autonomous multi-agent coding loops with financial budget caps, minimal fixes, and continuous dev-QA gates.
Search, save, and query a three-tier semantic memory shared across all AI agents on your workstation. Use before starting any task (search first for prior context) and after completing significant work (save findings with entities for consolidation). Supports savedecision for full PROV-O provenance and…
Yapper forces AI responses to be maximally verbose, thoroughly elaborated, and exhaustively explained. All output is expanded by 200–400%. Technical accuracy is maintained at 100%. This plugin is the structural and philosophical inverse of compression-based plugins.
The doaipm method (DO AI PM) — how to build products as a product manager in the AI era. Use this whenever someone plans, scopes, or builds a product, feature, prototype, app, or website; when a person describes an idea and asks how to approach it; when choosing between a low-fidelity sketch and a real prototype; or…
Universal, safe, and professional code modification and refactoring environment for 50+ languages. Use when editing source files to prevent syntax breakage, perform project-wide type-aware renames (LSP), or distill large command output to save context window tokens.
Plan, delegate, and accept a durable, git-tracked Goal Ledger for multi-phase or long-running work: .goal-ledger/GOAL.md plus phase-NNNN.md files, a planner/executor role split so a stronger model plans and reviews while cheaper models run the phases, approval gates, an isolated goal branch, committed recovery…
Create, update, and validate repository-local AI agent context files such as AGENTS.md, .agents/core.md, .agents/routing.md, provider-specific profiles, and task SKILL.md routing. Use when an AI coding agent (Codex, Claude Code, Gemini, Copilot, Cursor, or others) is asked to make AGENTS.md or SKILL instructions…
Machine-translate Markdown / Obsidian / Quartz content into other languages using a self-hosted LibreTranslate instance, preserving frontmatter, headings, emojis, bold/italic, wikilinks (![[...]]/[[...]]) and internal links. Use whenever a user wants to auto-translate a Markdown vault, Obsidian notes, or a…
Scan a repository against curated coding standards and produce a structured audit report, issue set, refactor plan, and sprint-based remediation roadmap. Use when the user invokes /vibe.audit or asks to review the codebase against established rules. Operates in full autopilot mode from repository scan to sprint plan…
Run substantial, evidence-aware R&D workflows for research, feasibility, strategy, investigation, product, business, or implementation-planning deliverables. Use when the user wants autonomous specialist work, explicit phase handoffs, review gates, and a durable final artifact. Do not use for simple questions, routine…
Use when the user wants to compile work evidence into an operational artifact — daily recap, weekly recap, ADR, session handoff, client update, retro, or loose-ends triage. These are presets of the same engine: evidence → normalization → preset → artifact. The input doesn't change, the preset does. Triggers on…
Audit and synchronize coding-agent instruction files across AGENTS.md, CLAUDE.md, Cursor rules, GitHub Copilot instructions, GEMINI.md, and OpenCode. Use when a user wants to consolidate project rules, find conflicting or duplicate agent instructions, detect embedded secrets or non-portable paths, migrate rules…
Detect reusable rules in user corrections or manual rewrites of AI output, ask whether they should be persisted into copilot-instructions or scoped instructions, and maintain them with minimal changes.
Operating guidance for an agent that has the AgentBridge MCP server available. The server exposes five tools, four resources, and four prompts. This skill explains when to use each tool and how to respect the safety contract.
Use when asked to "run QA", "qa check", "test checklist", or execute QA checklists against a running app via browser automation. Requires the browser-bridge MCP server and Chrome extension.
Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: