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Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking.
Install Design Award Pipeline
$ npx skills add SeanJ1ang/design-judge-skills --skill design-award-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SeanJ1ang/design-judge-skills design-award-pipeline --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/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/design-award-pipeline .claude/skills/design-award-pipeline && 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 "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .claude/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipelineType 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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SeanJ1ang/design-judge-skills design-award-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/design-award-pipeline .agents/skills/design-award-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .agents/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SeanJ1ang/design-judge-skills design-award-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/design-award-pipeline .cursor/skills/design-award-pipeline && 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 "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .cursor/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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/SeanJ1ang/design-judge-skills.git --path skills/design-award-pipeline--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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SeanJ1ang/design-judge-skills design-award-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/design-award-pipeline .gemini/skills/design-award-pipeline && 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 "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .gemini/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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 SeanJ1ang/design-judge-skills design-award-pipelineInstalls 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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/design-award-pipeline .github/skills/design-award-pipeline && 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 "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .github/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SeanJ1ang/design-judge-skills design-award-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SeanJ1ang/design-judge-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/design-award-pipeline .opencode/skills/design-award-pipeline && 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 "design-award-pipeline" agent skill from https://github.com/SeanJ1ang/design-judge-skills/tree/main/skills/design-award-pipeline into .opencode/skills/design-award-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-award-pipeline", 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
design-award-pipeline- GitHub stars
- 712
- Token cost
- ~725 tokens
- SKILL.md length
- 298 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking.
- Works in 6 steps: State the selected route and why it is… → Invoke or follow the relevant specialist… → Preserve its uncertainty labels,… → …
- A user asks for a complete award plan
- SKILL.md covers Route the request, Maintain the handoff, Coordinate stages and Boundaries
- Runs Python scripts from its folder; calls python
What it does
Design Award Pipeline is an agent skill from SeanJ1ang/design-judge-skills. Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking. Use when a user asks for a complete award plan, does not know which Design Judge skill to use, wants multiple stages coordinated, or needs a resumable workflow with explicit handoffs. Do not replace the specialist skills, invent project facts, treat scores as winning probabilities, or bypass current official-rule verification.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).
It sits in Legal & Compliance. It works with Python. The repository describes itself as: Evidence-driven Agent Skills for design award research, evaluation, award matching, entry writing, and submission readiness. The licence is Apache-2.0.
When your agent uses it
- A user asks for a complete award plan
- Does not know which Design Judge skill to use
- Wants multiple stages coordinated
- Needs a resumable workflow with explicit handoffs
Example prompts
- “/design-award-pipeline”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- State the selected route and why it is sufficient.
- Invoke or follow the relevant specialist Skill exactly.
- Preserve its uncertainty labels, evidence confidence, and blockers.
- Stop for user approval when the target award, maturity track, or another consequential choice changes downstream work.
- Hand off only facts supported by user material or cited official sources.
- End with the completed stage, unresolved blockers, and the next optional stage.
What it can do on your machine
Read from SKILL.md and the folder at commit abf53e6. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Design Award Pipeline loads about 725 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 298 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); the scripts in this folder are not scanned.
SKILL.md
The full file from SeanJ1ang/design-judge-skills at commit abf53e6, republished under its Apache-2.0 licence (© SeanJ1ang). 298 words, ~725 tokens.
Download SKILL.mdSave it as
.claude/skills/design-award-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- design-award-pipeline
- description
- Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking. Use when a user asks for a complete award plan, does not know which Design Judge skill to use, wants multiple stages coordinated, or needs a resumable workflow with explicit handoffs. Do not replace the specialist skills, invent project facts, treat scores as winning probabilities, or bypass current official-rule verification.
Design Award Pipeline
Coordinate the specialist Design Judge skills without duplicating their rules.
Route the request
Choose the smallest sufficient route:
| User goal | Route |
|---|---|
| Find comparable winners | design-award-search |
| Diagnose or score the design | design-evaluation |
| Select an award, route, or category | design-award-match |
| Prepare entry fields and copy | design-information-prep |
| Audit a concrete submission package | design-submission-check |
| Complete journey | evaluation or match → information prep → submission check; add search only when precedents are needed |
If the user has not provided enough information to select a route, ask at most one short question. Otherwise proceed with explicit assumptions.
Maintain the handoff
Create or update a compact handoff record using references/handoff-schema.json. Keep these concepts separate:
- user-supplied facts;
- evidence-backed findings;
- model inferences;
- missing facts and live-rule checks;
- decisions already approved by the user;
- the next recommended specialist skill.
Do not copy long specialist outputs into the handoff. Store identifiers, decisions, blockers, source links, and artifact paths.
When a handoff is written to JSON, run python scripts/validate_handoff.py <handoff.json> before treating it as resumable. Use examples/handoff.example.json as a minimal valid shape, not as project evidence.
Coordinate stages
- State the selected route and why it is sufficient.
- Invoke or follow the relevant specialist Skill exactly.
- Preserve its uncertainty labels, evidence confidence, and blockers.
- Stop for user approval when the target award, maturity track, or another consequential choice changes downstream work.
- Hand off only facts supported by user material or cited official sources.
- End with the completed stage, unresolved blockers, and the next optional stage.
Boundaries
- Never merge fit score, design score, and evidence confidence into one number.
- Never claim or estimate a probability of winning.
- Never treat observed winners as official jury weights.
- Never mark a package ready when time-sensitive official rules remain unverified.
- Never invoke all specialist skills when one is enough.
© SeanJ1ang, Apache-2.0. 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 7 other files (scripts, references) in skills/design-award-pipeline of SeanJ1ang/design-judge-skills.
- SKILL.md
- README.md
- README_EN.md
- agents/openai.yaml
- examples/handoff.example.json
- references/handoff-schema.json
- scripts/validate_handoff.py
- tests/test_validate_handoff.py
Open the folder on GitHubat commit abf53e6
Compare with similar skills
Design Award Pipeline 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 |
|---|---|---|---|---|---|---|
| Design Award Pipeline this skillSeanJ1ang/design-judge-skills | 712 | — | ~725 | Automated safety check: Pass | Apache-2.0 | |
| PCI DSS Compliancewshobson/agents | 40k | 11 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Alkahest Developerinternet-court/internet-court-skill | 6.6k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Analyzing Dependenciesjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Python Styleopen-edge-platform/anomalib | 6.2k | — | ~689 | Automated safety check: Pass | Apache-2.0 | |
| Hand Drawnthreerocks/hand-drawn-styles | 2.2k | — | ~398 | Automated safety check: Pass | MIT |
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Match a design project to supported design-award programs, tracks, and entry categories; apply structural eligibility gates; verify current official rules; compare published criteria and cautiously…
Design Award Search
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Evaluate one design or a user-approved maturity-mapped batch through a transparent evidence-based rubric.
Design Information Prep
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Extract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms.
Design Submission Check
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Audit a design-award submission package against the current official rules for a specific award cycle.
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Related
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Categories
Questions about Design Award Pipeline
What does Design Award Pipeline do?
Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking. Design Award Pipeline is an agent skill from SeanJ1ang/design-judge-skills. Route and coordinate an end-to-end design-award workflow across winner research, evidence-based evaluation, award matching, entry-text preparation, and final submission checking.
When should I use Design Award Pipeline?
Design Award Pipeline fits situations like: A user asks for a complete award plan; does not know which Design Judge skill to use; wants multiple stages coordinated; needs a resumable workflow with explicit handoffs.
How do I install Design Award Pipeline in Claude Code?
Run `npx skills add SeanJ1ang/design-judge-skills --skill design-award-pipeline -a claude-code`. Or copy the skill folder (skills/design-award-pipeline in SeanJ1ang/design-judge-skills) into .claude/skills/design-award-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Design Award Pipeline in Codex?
Run `npx skills add SeanJ1ang/design-judge-skills --skill design-award-pipeline -a codex`. Or copy the skill folder (skills/design-award-pipeline in SeanJ1ang/design-judge-skills) into .agents/skills/design-award-pipeline in your project. Codex loads it when a task matches its description.
Can I use Design Award Pipeline 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 SeanJ1ang/design-judge-skills --skill design-award-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/design-award-pipeline, .gemini/skills/design-award-pipeline, .github/skills/design-award-pipeline and .opencode/skills/design-award-pipeline in your project.
What does Design Award Pipeline need to run?
Going by SKILL.md and its folder, Design Award Pipeline needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Design Award Pipeline 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 Design Award Pipeline 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Design Award Pipeline use?
Design Award Pipeline is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Design Award Pipeline use?
About 725 tokens (SKILL.md is roughly 2.9k 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 551 tokens, read only when the agent opens those files.
What are the alternatives to Design Award Pipeline?
Skills that share tags, products or a category with Design Award Pipeline: PCI DSS Compliance (wshobson/agents, 40k stars), Alkahest Developer (internet-court/internet-court-skill, 6.6k stars), Analyzing Dependencies (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Python Style (open-edge-platform/anomalib, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Design Award Pipeline?
SeanJ1ang (a GitHub user) maintains it in SeanJ1ang/design-judge-skills, which has 712 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 24, 2026.
Source: SeanJ1ang/design-judge-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.