Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
Aggregate cross-asset quality control for campaigns. An agent skill from pawbytes/skill-suites.
Install Paw Cra Quality Control
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-quality-control --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/creative/paw-cra-quality-control .claude/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .claude/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-controlType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-quality-control --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/creative/paw-cra-quality-control .agents/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .agents/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-quality-control --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/creative/paw-cra-quality-control .cursor/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .cursor/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pawbytes/skill-suites.git --path src/creative/paw-cra-quality-control--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-quality-control --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/creative/paw-cra-quality-control .gemini/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .gemini/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pawbytes/skill-suites paw-cra-quality-controlInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/creative/paw-cra-quality-control .github/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .github/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-quality-control --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/creative/paw-cra-quality-control .opencode/skills/paw-cra-quality-control && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paw-cra-quality-control" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-quality-control into .opencode/skills/paw-cra-quality-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-quality-control", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
paw-cra-quality-control- GitHub stars
- 113
- Token cost
- ~1.2k tokens
- SKILL.md length
- 504 words
- Files
- 5 (incl. references)
- Skills in repo
- 71
- Repo updated
- First seen
- Licence
- MIT
At a glance
Aggregate cross-asset quality control for campaigns. An agent skill from pawbytes/skill-suites.
- The user requests run QC
- SKILL.md covers Overview, On Activation, Stages and Severity Model, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Quality check campaign
What it does
Paw Cra Quality Control is an agent skill from pawbytes/skill-suites. Aggregate cross-asset quality control for campaigns. Use when the user requests 'run QC', 'quality check campaign', 'review all assets', or 'generate QA report'.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/01-asset-collection.md`, `references/02-per-asset-qc.md` and `references/03-cross-asset-consistency.md`).
It sits in Media & Creative. The repository describes itself as: 50+ AI agent skills for Claude, Codex, OpenClaw etc — agentic marketing automation, AI creative agency, and developer productivity tools. The licence is MIT.
When your agent uses it
- The user requests run QC
- Quality check campaign
- Review all assets
- Generate QA report
Example prompts
- “run QC”
- “quality check campaign”
- “review all assets”
- “/paw-cra-quality-control”
What it can do on your machine
Read from SKILL.md and the folder at commit 547a6df. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Paw Cra Quality Control loads about 1.2k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 504 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from pawbytes/skill-suites at commit 547a6df, republished under its MIT licence (© pawbytes). 504 words, ~1,162 tokens.
Download SKILL.mdSave it as
.claude/skills/paw-cra-quality-control/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- paw-cra-quality-control
- description
- Aggregate cross-asset quality control for campaigns. Use when the user requests 'run QC', 'quality check campaign', 'review all assets', or 'generate QA report'.
Quality Control
Overview
This workflow aggregates quality control across all produced visual and video assets in a campaign, then generates a pass/fail report with revision tickets for anything that needs rework. Act as a meticulous QA lead who understands both brand standards and platform technical requirements.
Args: Accepts --headless / -H for autonomous execution against a campaign folder.
Output: qa-report.md with per-asset pass/fail verdicts, severity-rated issues, and revision tickets routed back to owning production workflows.
Key distinction: This is campaign-level cross-asset QC. Individual production workflows (Designer, Video Producer) already have embedded per-asset review gates. This workflow aggregates those results and adds cross-asset consistency checking that no single production workflow can do alone --- verifying that all campaign assets feel like a cohesive set.
On Activation
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml (root level and cra section). If config is missing, let the user know paw-cra-setup can configure the module at any time. Resolve and apply throughout the session (defaults in parens):
{user_name}(null) --- address the user by name{communication_language}(English) --- use for all communications{document_output_language}(English) --- use for generated document content{output_directory}(.pawbytes/creative-suites) --- base output path
Load shared agency memory from {project-root}/.pawbytes/creative-suites/index.md. Identify the active brand and campaign. Load brand guidelines from .pawbytes/creative-suites/brands/{brand-name}/guidelines.md.
Campaign folder resolution: Accept a campaign folder path as argument, or infer from the active campaign in memory. The campaign folder is expected at .pawbytes/creative-suites/brands/{brand-name}/campaigns/{campaign-name}/ or .pawbytes/creative-suites/campaigns/{campaign-name}/. If no campaign can be resolved, ask the user.
If --headless or -H is passed, run the full pipeline without interaction: collect assets, run all QC checks, generate report, route results.
Otherwise, greet the user, confirm the target campaign, and proceed through the stages below. Offer a summary of what will be checked before starting.
Show full SKILL.md (220 more words)Show less
Stages
This workflow progresses through four stages. Each stage writes findings to the in-progress qa-report.md using the document-as-cache pattern for compaction survival.
| Stage | Purpose | Reference |
|---|---|---|
| 1. Asset Collection | Scan campaign folder, discover all manifests and assets | Load ./references/01-asset-collection.md |
| 2. Per-Asset QC | Visual checks, video checks, brand compliance per asset | Load ./references/02-per-asset-qc.md |
| 3. Cross-Asset Consistency | Verify cohesion across the full campaign asset set | Load ./references/03-cross-asset-consistency.md |
| 4. Report & Route | Generate final report, create revision tickets, update status | Load ./references/04-report-and-route.md |
Severity Model
All issues use a three-tier severity:
| Severity | Meaning | Effect |
|---|---|---|
| Critical | Asset is unusable or off-brand --- wrong dimensions, broken file, wrong logo, unreadable text | Asset fails. Revision ticket created. |
| Warning | Asset is usable but suboptimal --- slight color drift, audio slightly hot, missing optional metadata | Asset passes with note. Revision recommended. |
| Info | Observation or suggestion --- could improve but not a quality gate issue | Logged for reference. No revision ticket. |
An asset passes if it has zero critical issues. A campaign is QC-approved only when all assets pass.
Manifest Types
Production workflows emit these manifest files. This workflow reads all of them:
| Manifest | Producer | Contains |
|---|---|---|
design-manifest.json | Designer workflows | Image assets, dimensions, format, brand colors used |
video-manifest.json | Video Producer workflows | Video assets, codec, resolution, duration, subtitle status |
clip-manifest.json | paw-cra-video-clips | Extracted clips with reframing and platform targets |
batch-manifest.json | paw-cra-design-batch | Batch-produced visual assets with content calendar mapping |
© pawbytes, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (references) in src/creative/paw-cra-quality-control of pawbytes/skill-suites.
- SKILL.md
- references/01-asset-collection.md
- references/02-per-asset-qc.md
- references/03-cross-asset-consistency.md
- references/04-report-and-route.md
Open the folder on GitHubat commit 547a6df
Compare with similar skills
Paw Cra Quality Control next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paw Cra Quality Control this skillpawbytes/skill-suites | 113 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 60k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 129k | — | ~2.1k | Automated safety check: Warn | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Paw Cra Quality Control
What does Paw Cra Quality Control do?
Aggregate cross-asset quality control for campaigns. An agent skill from pawbytes/skill-suites. Paw Cra Quality Control is an agent skill from pawbytes/skill-suites. Aggregate cross-asset quality control for campaigns.
When should I use Paw Cra Quality Control?
Paw Cra Quality Control fits situations like: the user requests run QC; quality check campaign; review all assets; generate QA report.
How do I install Paw Cra Quality Control in Claude Code?
Run `npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a claude-code`. Or copy the skill folder (src/creative/paw-cra-quality-control in pawbytes/skill-suites) into .claude/skills/paw-cra-quality-control in your project. Claude Code loads it when a task matches its description.
How do I install Paw Cra Quality Control in Codex?
Run `npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a codex`. Or copy the skill folder (src/creative/paw-cra-quality-control in pawbytes/skill-suites) into .agents/skills/paw-cra-quality-control in your project. Codex loads it when a task matches its description.
Can I use Paw Cra Quality Control in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pawbytes/skill-suites --skill paw-cra-quality-control -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paw-cra-quality-control, .gemini/skills/paw-cra-quality-control, .github/skills/paw-cra-quality-control and .opencode/skills/paw-cra-quality-control in your project.
What does Paw Cra Quality Control need to run?
SKILL.md names no scripts, command-line tools or credentials: Paw Cra Quality Control is instructions for the agent only.
Does Paw Cra Quality Control access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Paw Cra Quality Control safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Paw Cra Quality Control use?
Paw Cra Quality Control is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Paw Cra Quality Control use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.
What are the alternatives to Paw Cra Quality Control?
Skills that share tags, products or a category with Paw Cra Quality Control: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 129k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paw Cra Quality Control?
pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 113 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on October 3, 2026.
Source: pawbytes/skill-suites on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.