37,011 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Automatically generate a comprehensive travel plan based on user's travel needs (destination, date, budget, etc.), including transportation, accommodation, attractions, food, and itinerary. Use when a user asks for a travel plan, itinerary, travel tips, or mentions a specific destination.
Use this agent for architectural decisions, feature design, code review, or refactoring in this TanStack Start back-office / dashboard starter ("中台" template). It knows the resource pattern, the Repository data layer, the page archetypes, and the ALWAYS/NEVER conventions, and it designs changes that stay portable and…
Describe model or operator HIR with TileFoundry, inspect topology and placement, run static cost analysis, visualize authored dataflow, and check a runtime implementation against its evaluator. Use for TileFoundry requests and high-level fusion, sharding, or memory-placement design before or alongside TileLang kernel…
Generate a complete PRP for general feature implementation with thorough research. Ensure context is passed to the AI agent to enable self-validation and iterative refinement. Read the feature file first to understand what needs to be created, how the examples provided help, and any other considerations.
Write to (or read) the user's BonsAI board — the spatial idea canvas in the BonsAI macOS app. Use when the user asks to put / drop / add / send something to their BonsAI board, capture an idea or note on the board, sketch a diagram or architecture onto the canvas, evolve an idea already on the board, or read what's…
Chart a big, foggy effort as a shared map of investigation tickets under .plan/, resolved one per session. Bundles the wayfinder method plus the four skills it invokes: grill-me, research, prototype, and domain-modeling. Skills originally authored by Matt Pocock (github.com/mattpocock/skills), adapted here.
★not rated 144▲
+3 22d agoA
tokens not measured
originalMIT
Coordinator workflow for multi-phase implementation across workmux worktrees. Generates or loads a master plan, dispatches phase agents using presets, verifies sentinels, merges serially, and performs integration verification.
A structured way to analyze a design or problem by reducing it to basic facts and rebuilding the reasoning from there. It questions inherited assumptions instead of accepting common approaches automatically.
Intent-to-implementation: from a goal, design docs, notes, or a mix, elicit and validate intent into a grounded 3-doc, then orchestrate dependency-aware parallel execution with right-sized review.
★not rated 141 2mo agoA
tokens not measured
originalMIT
A Chinese-language assistant for creating or changing AI employee configurations through conversation. It clarifies the employee’s role, matches suitable skills, prepares a configuration draft, and waits for confirmation before saving changes.
Use when a repeatable task must become a bounded Trigger -> Execute -> Verify -> State loop, scheduled automation, goal agent, or metric-driven research cycle.
A workflow step for turning a product brief and technical decisions into a system architecture overview. It identifies separate systems, their boundaries, dependencies, and the source-code directories they map to.
AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
Plan software work as an Orca orchestration task DAG. Use when the user wants to break a feature or project into an executable graph of tasks with dependencies and approval gates in Orca, then visualize and fire it. Teaches the exact orca orchestration CLI commands to build the DAG, the spec-writing conventions, and…
A guided advisory discussion in which several chosen business perspectives ask questions and give feedback on a major decision, using current information from Baidu Search and Baidu Baike.
Reads multiple input documents — past proposals, a win strategy brief, capability statements, a win/loss debrief, and RFP evaluation criteria — and synthesizes them into a recommended proposal Table of Contents and a content strategy brief. Produces an explicit competitive-positioning recommendation and a page-budget…
Use when building software with AI agents and you need a serious end-to-end workflow instead of vibe coding. Covers harness choice, context discipline, cleanup, review loops, launch pressure, and security basics.
An AI development harness that organizes project requirements, accumulated knowledge, lessons from mistakes, and retrospectives. A PRD is a document describing what a product should do.
★not rated 139▲
+1 6mo agoA
tokens not measured
originalMIT
Post-completion factory improvement analysis. Guides the retrospective agent through artifact discovery, pattern analysis, suggestion generation, and presenting proposed changes for approval. Use when the retrospective agent starts its post-completion phase.
18 specialized Claude Code skills for urban design covering site analysis, masterplanning, street design, public space design, sustainability scoring, zoning, transit-oriented development, mobility and transport planning, cost estimation, urban regeneration, and computational urban metrics. References 40+ theorists…
★not rated 137▲
+3 7mo agoA
tokens not measured
originalMIT
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