anymouschina

37 mods across 2 repositories, 581 stars between them.

TapCanvas AGENTS.md

01

anymouschina/TapCanvas

Instructions file CodexOpenCode

Repository-wide instructions for a project called TapCanvas, covering coding standards, file organization, data safety, decision-making, and Git usage. They require clear types, modular files, and explicit approval before risky changes.

579 12d ago C 11,527 tokens original MIT

TapCanvas CLAUDE.md

02

anymouschina/TapCanvas

Instructions file

Instructions for anymouschina/TapCanvas, covering claude.md, common commands, install deps (pnpm workspace), web dev (vite) and api dev (cloudflare workers + hono).

579 12d ago A 260 tokens original MIT

aesthetic-audit

03

anymouschina/TapCanvas

Skill Claude CodeCodex

A commercial visual and user-experience review workflow for websites, product pages, landing pages, and visual assets. It examines clarity, hierarchy, spacing, typography, color, trust signals, conversion paths, and mobile behavior.

579 12d ago A 63 tokens original MIT

agent-builder

04

anymouschina/TapCanvas

Skill Claude CodeCodex

A guide for designing and building AI agents and assistants for specialised tasks.

579 12d ago A 135 tokens copy · 89% MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

A Chinese-language workflow for extracting chapter-level metadata from novels with multiple collaborating agents. It requires one agent to extract information and another to check completeness, duplicates, and formatting.

579 12d ago A 46 tokens original MIT

agents-team

06

anymouschina/TapCanvas

Skill Claude CodeCodex

Enable general multi-agent team mode via spawnagent/wait tools. Supports orchestrator, worker, reviewer, research, writer, and editor roles.

579 12d ago A 32 tokens original MIT

code-review

07

anymouschina/TapCanvas

Skill Claude CodeCodex

A structured code review process covering security, correctness, speed, and maintainability. Code review means checking source code for defects and risks before it is shipped.

579 12d ago A 38 tokens original MIT

cognitive-memory

08

anymouschina/TapCanvas

Skill Claude CodeCodex

A long-term memory system for AI agents that saves, searches, organises, archives, and resumes information beyond the current conversation.

579 12d ago A 51 tokens original MIT

capability-evolver

09

anymouschina/TapCanvas

Skill Claude CodeCodex

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.

579 12d ago A 29 tokens original MIT

generate-media

10

anymouschina/TapCanvas

Skill Claude CodeCodex

A media-production workflow for creating reusable character cards, scene and prop references, and storyboard images for short dramas or novels.

579 12d ago A 88 tokens original MIT

khazix-writer

11

anymouschina/TapCanvas

Skill Claude CodeCodex

A writing guide for producing long-form public-account articles in the style of the creator Khaziks. It also explains how AI should support research and idea development without replacing the writer's judgment.

579 12d ago A 190 tokens copy · 100% MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

Run a planner -> contract -> build -> evaluator loop for long-running application work using agents-team, task graph, protocol handshakes, and staged worker imports.

579 12d ago A 38 tokens original MIT

mcp-builder

13

anymouschina/TapCanvas

Skill Claude CodeCodex

A guide for building MCP (Model Context Protocol) servers, which let AI assistants use tools and access data from other services.

579 12d ago A 37 tokens original MIT

pdf

14

anymouschina/TapCanvas

Skill Claude CodeCodex

A toolkit for working with PDF files, including extracting their text, creating new PDFs, and combining documents.

579 12d ago A 37 tokens original MIT

skill-creator

15

anymouschina/TapCanvas

Skill Claude CodeCodex

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.

579 12d ago A 64 tokens copy · 83% MIT

analyzer

16

anymouschina/TapCanvas

Agent

Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.

579 12d ago A 0 tokens copy · 100% MIT

comparator

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anymouschina/TapCanvas

Agent

Compare two outputs WITHOUT knowing which skill produced them.

579 12d ago A 0 tokens copy · 100% MIT

grader

18

anymouschina/TapCanvas

Agent

Evaluate expectations against an execution transcript and outputs.

579 12d ago A 0 tokens copy · 100% MIT

tapcanvas-api

19

anymouschina/TapCanvas

Skill Claude CodeCodex

A single setup and command-line entry point for calling TapCanvas's public chat, drawing, image-understanding, video, task-result, and flow APIs.

579 12d ago A 104 tokens original MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

Use local Python Pillow to compose storyboard/role-card collages with per-cell role-name labels. No model call needed.

579 12d ago A 31 tokens original MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

Skill "tapcanvas-continuity" from anymouschina/TapCanvas, covering tapcanvas continuity, 何时使用, 输入证据, 执行原则 and 子代理边界.

579 12d ago A 42 tokens original MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

A set of methods for keeping characters, settings, camera views, and visual style consistent when creating images or videos.

579 12d ago A 43 tokens original MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

A workflow for rebuilding a webpage from a provided design image into working frontend code. It first examines the image with a connected local vision system, then breaks down the layout and implements and compares the result.

579 12d ago A 80 tokens original MIT

anymouschina/TapCanvas

Skill Claude CodeCodex

A set of role and output rules for specialists that create image prompts, video prompts, and pacing reviews in TapCanvas. It explains what evidence to pass to each specialist and what results they should return.

579 12d ago A 45 tokens original MIT