CCG is a command-line workflow engine that coordinates Claude, Codex, Gemini, and other models as specialized collaborators on coding tasks. It is used to analyze requests, choose a strategy, delegate work to model-specific roles, and combine their results. The catalogue entries provide the skills, commands, agents, and plugin that implement this workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fengshao1227/ccg-workflow --skill frontend-designgit clone --depth 1 https://github.com/fengshao1227/ccg-workflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fengshao1227/ccg-workflow/frontend-design)<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/frontend-design"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/frontend-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/frontend-design"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/frontend-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.03120 |
| Opus 5.5 | $0.00030 | $0.01248 |
| Sonnet 5.5 | $0.00015 | $0.00624 |
| Haiku 4.5 | $0.00007 | $0.00312 |
Grade A, and why
frontend-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Design (Impeccable Fusion Edition)
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. It fuses Impeccable design philosophy with extended knowledge on state management, engineering, and design style systems.
Context Gathering Protocol
Design skills produce generic output without project context. You MUST have confirmed design context before doing any design work.
Required context — every design skill needs at minimum:
- Target audience: Who uses this product and in what context?
- Use cases: What jobs are they trying to get done?
- Brand personality/tone: How should the interface feel?
Gathering order:
- Check current instructions (instant): If your loaded instructions already contain a Design Context section, proceed immediately.
- Check .impeccable.md (fast): If not in instructions, read
.impeccable.mdfrom the project root. If it exists and contains the required context, proceed. - Gather it now (REQUIRED): If neither source has context, ask the user for the three items above before doing anything else. Do NOT skip this step and do NOT infer context from the codebase instead. Once gathered, offer to save it to
.impeccable.mdat the project root so future sessions skip straight to step 2. (The detailed intake playbook lives atimpeccable/teach-impeccable/SKILL.md.)
Design Direction
Commit to a BOLD aesthetic direction:
- Purpose: What problem does this interface solve? Who uses it?
- Tone: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc.
- Constraints: Technical requirements (framework, performance, accessibility).
- Differentiation: What makes this UNFORGETTABLE? What's the one thing someone will remember?
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 227 B
- claymorphism/references/tokens.css 1.5 KB
- claymorphism/SKILL.md 2.9 KB
- component-patterns.md 3.7 KB
- engineering.md 7.2 KB
- glassmorphism/references/tokens.css 886 B
- glassmorphism/SKILL.md 3.6 KB
- liquid-glass/references/tokens.css 2.1 KB
- liquid-glass/SKILL.md 3.7 KB
- neubrutalism/references/tokens.css 1.0 KB
- neubrutalism/SKILL.md 3.2 KB
- reference/color-and-contrast.md 5.2 KB
- reference/interaction-design.md 6.9 KB
- reference/motion-design.md 4.6 KB
- reference/responsive-design.md 3.4 KB
- reference/spatial-design.md 3.5 KB
- reference/typography.md 5.8 KB
- reference/ux-writing.md 4.2 KB
- state-management.md 15 KB
- ui-aesthetics.md 2.9 KB
- ux-principles.md 3.3 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 237 lines · 75 tokens per session scan A 9ca32e75324f
frontend-design is a skill published in the GitHub repository fengshao1227/ccg-workflow (5,942 stars, last pushed 3d ago), licensed MIT. It adds 75 tokens to every session and 3,120 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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