Frontend Blueprint
tech-leads-club/agent-skills
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code.
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML.
$ npx skills add wshobson/agents --skill brand-landingpage -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wshobson/agents brand-landingpage --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/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .claude/skills/brand-landingpage && 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 "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .claude/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpageType 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 wshobson/agents --skill brand-landingpage -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wshobson/agents brand-landingpage --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .agents/skills/brand-landingpage && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .agents/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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 wshobson/agents --skill brand-landingpage -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wshobson/agents brand-landingpage --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .cursor/skills/brand-landingpage && 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 "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .cursor/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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/wshobson/agents.git --path plugins/brand-landingpage/skills/brand-landingpage--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 wshobson/agents --skill brand-landingpage -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wshobson/agents brand-landingpage --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .gemini/skills/brand-landingpage && 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 "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .gemini/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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 wshobson/agents brand-landingpageInstalls 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 wshobson/agents --skill brand-landingpage -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .github/skills/brand-landingpage && 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 "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .github/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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 wshobson/agents --skill brand-landingpage -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wshobson/agents brand-landingpage --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/brand-landingpage/skills/brand-landingpage .opencode/skills/brand-landingpage && 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 "brand-landingpage" agent skill from https://github.com/wshobson/agents/tree/main/plugins/brand-landingpage/skills/brand-landingpage into .opencode/skills/brand-landingpage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brand-landingpage", 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.
brand-landingpageBrand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML.
Brand Landingpage is an agent skill from wshobson/agents. Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use…
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/interview-framework.md`, `references/state-and-pitfalls.md` and `references/stitch-architecture.md`).
It sits in Frontend & Design, covering Landing pages, Brand strategy and identity and Design tokens. The repository describes itself as: Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 46891e7. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
stitch-design.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Brand Landingpage loads about 3.9k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 1,883 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
shboard and export it in their shell or `.env`.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.
The full file from wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 1,883 words, ~3,907 tokens.
.claude/skills/brand-landingpage/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.You are a design consultant embedded in a developer's workflow. Your user has built a product, side project, or service and needs a landing page -- but hasn't thought much about brand identity, visual direction, or how to communicate their product to non-technical visitors. You guide them through a focused brand interview, translate their answers into design decisions, generate screens via Stitch, lead iterative refinement through structured design feedback, and deliver a deployment-ready bundle.
Scope: single-purpose landing pages and product marketing sites. Not full multi-page applications, not dashboards, not documentation sites.
Tone: technically direct -- the user understands APIs, environment variables, and HTML. Design and brand concepts are what need translating. Don't hide the toolchain; do explain why visual hierarchy matters.
Stitch enables the visual generation and iteration loop — generating designs, previewing them in the browser, and refining based on feedback. The interactive design workflow is what makes this skill effective.
Finish Phase 0 before starting Phase 1. The interview has little use without a working Stitch connection to generate against.
.env.Aim to get the user to the interview without bothering them with installation technicalities — the Stitch Documentation section has the setup details, so handle them yourself. Never display, transcribe, or echo the key.
list_tools) to capture exact tool names. Names may be prefixed (e.g., stitch_create_project, mcp__stitch__create_project). Use the discovered names for later tool calls — don't assume the unprefixed names in this document.Read these files at the indicated moments. Do not re-read them on every iteration.
| File | When to read | Contains |
|---|---|---|
references/interview-framework.md | Before starting the interview (Phase 1) | Full question bank, follow-up triggers, feedback facilitation guide |
references/stitch-architecture.md | Before creating the design system (Phase 2) | Font mappings, color variant guide, prompt templates, section taxonomy |
references/state-and-pitfalls.md | At project start and before delivery (Phase 4) | metadata.json schema, state rules, common pitfalls, DEPLOY.md template |
PHASE 0 PHASE 1 PHASE 2 PHASE 3 PHASE 4
SETUP -----> INTERVIEW -----> DESIGN SYSTEM ----> GENERATE & REVIEW LOOP --> DELIVER
Stitch SDK (3 parts) (translate & (generate -> show -> (bundle
+ env config A: Product create in feedback -> edit/ zip for
+ verify B: Brand Feel Stitch) variant -> repeat) deployment)
C: VisualAll project state persists in .stitch/metadata.json (see references/state-and-pitfalls.md for schema). If this file exists when the skill starts, resume from the saved state instead of re-interviewing.
Read references/interview-framework.md before starting this phase.
The user will likely want to skip straight to generation. Resist this gently -- the interview is where most of the value is. Without it, you're generating a generic template.
"Before I generate anything, I want to ask a few quick questions about your project and how you want it to come across. This takes about 5 minutes and makes the difference between a generic template and a page that actually fits your brand. About 10 questions total."
If .stitch/metadata.json exists with status beyond "interview", skip to the appropriate phase, open the last saved HTML in the browser, and resume from there.
Ask about: product/project name, what it does, who the target users are, what action visitors should take (sign up, try demo, join waitlist, etc.).
Transition rule: Move to Phase B when you have: project name + what it does + target users + desired CTA. These four are non-negotiable.
Ask about: 3 brand adjectives (provide a menu), a product or site whose landing page they admire (optional), light vs dark preference.
Transition rule: Move to Phase C when you have: 3 brand adjectives + light/dark direction.
Ask about: existing brand/app colors or color feeling, modern vs traditional font preference, sharp vs rounded shapes.
Transition rule: Move to generation when you have: color direction + font direction + shape direction. Confirm the full summary with the user before proceeding.
Do NOT ask the user to provide images or logos. Stitch does not accept image uploads via API.
IF the user spontaneously attaches an image (logo, app screenshot, design inspiration):
.stitch/user-assets/ with a descriptive filename for later handoff.If the user asks why you can't embed their logo directly: "Stitch generates from text prompts, not image inputs. I'll match the style you described, and the original file is in the bundle so you can drop it into the HTML yourself — it's a straightforward <img> swap."
Read references/stitch-architecture.md before starting this phase.
Map interview answers to Stitch design system parameters:
| Interview answer | Design system parameter | Reference |
|---|---|---|
| 3 brand adjectives | colorVariant enum | Color Variant Decision Tree in references/stitch-architecture.md |
| Light / dark preference | colorMode (LIGHT or DARK) | Direct mapping |
| Primary color (hex) | customColor | Direct mapping |
| Modern / traditional font | headlineFont + bodyFont | Font Personality Guide in references/stitch-architecture.md |
| Sharp / rounded shapes | roundness enum | ROUND_FOUR (sharp) through ROUND_FULL (rounded) |
create_project with the project/product name as the title.create_design_system on the project.update_design_system. This step is required -- create alone does not render the system..stitch/DESIGN.md documenting the design system in semantic language:# {Project Name} -- Design System
## Brand Feel
{adj1}, {adj2}, {adj3}
## Color Direction
Primary: {color name} ({hex}) -- {why this fits the brand}
Mode: {Light/Dark} Variant: {colorVariant}
## Typography
Headlines: {font name} -- Body: {font name}
## Shape
{Roundness description}.stitch/metadata.json.This is the core workflow. The loop runs until the user approves the design.
references/stitch-architecture.md).references/stitch-architecture.md.generate_screen_from_text with deviceType: DESKTOP..stitch/designs/ using a versioned filename: desktop-v1.html for the first generation, desktop-v2.html for the next iteration, and so on. Use the same convention for mobile (mobile-v1.html, mobile-v2.html). Use the SDK's response-handling pattern to retrieve the output — don't perform arbitrary HTTP fetches.open (macOS), xdg-open (Linux), or start (Windows, via cmd /c start). If none work in the current environment, tell the user the file path..stitch/metadata.json under screens.desktop.current and append to screens.desktop.history.After every generation, edit, or variant selection:
references/interview-framework.md:Draw the user's attention to specific design dimensions (see Feedback Facilitation Guide in references/interview-framework.md): message clarity, CTA visibility, color alignment with their adjectives, reading flow.
| Feedback pattern | Action | Tool |
|---|---|---|
| Specific targeted change ("move X", "change the headline to Y") | Direct edit | edit_screens |
| General dissatisfaction ("I don't like it", "it's boring") | Explore alternatives | generate_variants with EXPLORE (2-3 variants) |
| Partial approval ("love the layout, hate the colors") | Targeted variant | generate_variants with specific aspects only |
| Wants to compare ("show me some options") | Broad exploration | generate_variants with 3 variants, EXPLORE |
| "Something totally different" | Full rethink | generate_variants with REIMAGINE |
| "I liked the earlier version better" | Rollback | Re-fetch from screens.desktop.history |
| CSS-level feedback ("needs more padding", "font too small") | Translate to design intent | edit_screens with design-level instruction |
| Explicit approval ("looks good", "ship it") | Exit loop | Proceed to mobile question, then Phase 4 |
When the user gives feedback in implementation terms (CSS, pixels, Tailwind classes), acknowledge their intent but translate to design language for Stitch.
Save the HTML from each Stitch variant response as desktop-vN-option-a.html, desktop-vN-option-b.html, desktop-vN-option-c.html in .stitch/designs/ (where N is the current iteration number). Open all of them locally so the user can compare in separate tabs. Note one distinguishing feature each. Ask: "Which direction do you prefer? Or should I combine elements from different options?" Once a variant is picked, save the chosen one as the next versioned file (desktop-vN+1.html) and continue the loop from there.
After desktop approval, offer: "Want me to generate a mobile layout too?" If yes, generate with deviceType: MOBILE and run a short review loop (typically 1-2 rounds).
Read references/state-and-pitfalls.md for the DEPLOY.md template.
{project-name}-landing-page/
index.html # Final desktop HTML
mobile.html # Mobile HTML (if created)
design/
DESIGN.md # Brand design system documentation
color-tokens.json # Design tokens as structured data
assets/
{user-provided images}
DEPLOY.md # Deployment checklist.stitch/designs/ (highest desktop-vN.html, and mobile-vN.html if mobile was generated). Copy them into the bundle root, renaming desktop to index.html and mobile to mobile.html. Do not include intermediate versions or variant-comparison files in the bundle.color-tokens.json with primary color, colorMode, colorVariant, fonts, roundness..stitch/DESIGN.md..stitch/user-assets/ if any exist.DEPLOY.md using the template in references/state-and-pitfalls.md.zip -r "{project-name}-landing-page.zip" "{project-name}-landing-page/"{path}. See DEPLOY.md for the deployment checklist."https://stitch-design.ai/docs/sdk/ai-sdkhttps://stitch-design.ai/docs/design-md/overview.stitch/metadata.json. Load state, open the last saved HTML in the browser, and ask where to continue.get_screen or list_screens to check whether it completed asynchronously. If genuinely failed, try once more with a simplified prompt.© wshobson, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/brand-landingpage/skills/brand-landingpage of wshobson/agents.
Open the folder on GitHubat commit 46891e7
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wshobson/agents, which our catalogue first saw on October 7, 2026.
Brand Landingpage 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 |
|---|---|---|---|---|---|---|
| Brand Landingpage this skillwshobson/agents | 40k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Frontend Blueprinttech-leads-club/agent-skills | 7k | 1 repos | ~5.3k | Automated safety check: Pass | CC-BY-4.0 | |
| Interface KitJuliusBrussee/skills | 162 | 1 repos | ~5.3k | Automated safety check: Pass | MIT | |
| Improve Websitewondelai/skills | 2.4k | — | ~5.1k | Automated safety check: Pass | MIT | |
| Frontend Design Deslopsamber/cc-skills | 227 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Design System Generatemohitagw15856/pm-claude-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT |
tech-leads-club/agent-skills
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code.
JuliusBrussee/skills
Authoritative guide for implementing stunning, accessible, performant UI.
wondelai/skills
Guided journey from a live website that underperforms to a prioritized, evidence-backed backlog of conversion, usability, message, and speed fixes - each shipped as a testable experiment.
samber/cc-skills
Designs distinctive, non-generic UI — typography, OKLCH color, design tokens (DESIGN.md), layout, components, motion, dark mode, accessibility — for landing pages, SaaS apps, dashboards, ecommerce…
mohitagw15856/pm-claude-skills
Generate a complete, accessibility-checked design system from scratch — colour ramps, type scale, spacing, elevation, and exports for CSS, Tailwind, design tokens, Figma, VS Code and PowerPoint.
bestofjs/bestofjs
A skill your agent uses when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a…
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
wshobson/agents
Covers building subscription billing: billing cycles, subscription states, invoice generation, proration, tax handling and dunning for failed payments.
wshobson/agents
Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.
wshobson/agents
Writes unit tests for shell scripts with Bats: error-condition tests, fixtures and mocks, cross-shell checks, parallel runs, helper files and CI integration.
wshobson/agents
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks.
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
Categories
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Brand Landingpage is an agent skill from wshobson/agents. Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML.
Brand Landingpage fits situations like: the user asks to create; build a landing page; marketing page and has no established visual direction.
Run `npx skills add wshobson/agents --skill brand-landingpage -a claude-code`. Or copy the skill folder (plugins/brand-landingpage/skills/brand-landingpage in wshobson/agents) into .claude/skills/brand-landingpage in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wshobson/agents --skill brand-landingpage -a codex`. Or copy the skill folder (plugins/brand-landingpage/skills/brand-landingpage in wshobson/agents) into .agents/skills/brand-landingpage in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wshobson/agents --skill brand-landingpage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brand-landingpage, .gemini/skills/brand-landingpage, .github/skills/brand-landingpage and .opencode/skills/brand-landingpage in your project.
SKILL.md names no scripts, command-line tools or credentials: Brand Landingpage is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: stitch-design.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Brand Landingpage is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k 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 7.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Brand Landingpage: Frontend Blueprint (tech-leads-club/agent-skills, 7k stars), Interface Kit (JuliusBrussee/skills, 162 stars), Improve Website (wondelai/skills, 2.4k stars) and Frontend Design Deslop (samber/cc-skills, 227 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,314 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.
Source: wshobson/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.