Impeccable
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…
Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
$ npx skills add seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills user-flow-mapping --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/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .claude/skills/user-flow-mapping && 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 "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .claude/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mappingType 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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills user-flow-mapping --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .agents/skills/user-flow-mapping && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .agents/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills user-flow-mapping --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .cursor/skills/user-flow-mapping && 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 "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .cursor/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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/seb1n/awesome-ai-agent-skills.git --path design-and-ui-ux/user-flow-mapping--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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills user-flow-mapping --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .gemini/skills/user-flow-mapping && 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 "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .gemini/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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 seb1n/awesome-ai-agent-skills user-flow-mappingInstalls 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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .github/skills/user-flow-mapping && 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 "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .github/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills user-flow-mapping --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/design-and-ui-ux/user-flow-mapping .opencode/skills/user-flow-mapping && 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 "user-flow-mapping" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/design-and-ui-ux/user-flow-mapping into .opencode/skills/user-flow-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-flow-mapping", 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.
user-flow-mappingVisualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
User Flow Mapping is an agent skill from seb1n/awesome-ai-agent-skills. Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys. Use when the user requests user flow mapping or provides relevant inputs for this workflow.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Frontend & Design, covering UX design. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 75865a5. 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 (its code samples are mermaid).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
User Flow Mapping loads about 2.6k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 988 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 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.
The full file from seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 988 words, ~2,568 tokens.
.claude/skills/user-flow-mapping/SKILL.md (or your agent's skills folder).This skill enables the agent to create detailed user flow diagrams that map every step, decision point, error state, and success path a user encounters while completing a task in a product. The agent produces three types of flows — task flows (single path, no decisions), user flows (multiple paths with decision branches), and wire flows (flows annotated with screen wireframes) — using Mermaid diagram syntax for portability. Each flow includes annotations for conversion metrics, drop-off risk points, and optimization opportunities.
Define the Flow Objective and Scope: Identify the specific user goal being mapped (e.g., "Complete a purchase," "Reset a password"). Determine the entry points — how the user arrives at the start of the flow (direct link, homepage navigation, email CTA, push notification). Establish the success criteria and the scope boundary so the diagram does not expand indefinitely.
Identify All Steps and Decision Points: List every screen, action, and system response in sequence. Mark decision points where the user or the system branches (e.g., "Is the user logged in?" or "Did payment succeed?"). Include error states, validation failures, and retry loops. For each step, note whether it is a user action (click, type, swipe) or a system action (redirect, API call, email sent).
Map Happy Path First, Then Edge Paths: Draw the ideal path from entry to success first. Then layer in alternative paths: what happens if the user is not logged in, if validation fails, if the session times out, if the payment is declined. Each branch should terminate in either a success state, an error recovery path, or an exit point.
Annotate with Metrics and Risk Points: At each step, note the relevant metric: page view count, click-through rate, form completion rate, drop-off percentage. Flag high-friction steps where users are likely to abandon (multi-field forms, account creation walls, payment pages). Suggest specific optimizations for each risk point.
Generate the Mermaid Diagram: Produce a clean Mermaid graph TD diagram using consistent node shapes: rounded rectangles () for pages/screens, diamonds {} for decisions, rectangles [] for actions, and double-circles (()) for start/end states. Use descriptive labels and color annotations via style directives to highlight error paths in red and success paths in green.
Review and Iterate: Walk through the diagram with the user to verify completeness. Check that every branch terminates, that no orphan nodes exist, and that the flow accurately reflects the actual product behavior including edge cases.
Provide the agent with the user goal, the product context (web app, mobile app, or cross-platform), and any known screens or steps. Optionally include analytics data (drop-off rates, conversion percentages) for the agent to annotate onto the diagram. The agent will produce a Mermaid diagram with annotations.
User Request: "Map the complete checkout flow for our e-commerce site. Users can be logged in or guests. We support credit card and PayPal."
Agent Response:
graph TD
START(("Start: Cart Page")) --> REVIEW["Review Cart Items"]
REVIEW --> EMPTY{Cart empty?}
EMPTY -- Yes --> BROWSE["Redirect to Shop Page"]
EMPTY -- No --> AUTH{User logged in?}
AUTH -- Yes --> SHIPPING["Enter Shipping Address"]
AUTH -- No --> CHOICE{Guest or Sign In?}
CHOICE -- Sign In --> LOGIN["Login Page"]
LOGIN --> LOGIN_OK{Login successful?}
LOGIN_OK -- Yes --> SHIPPING
LOGIN_OK -- No --> LOGIN_ERR["Show Error, Retry"]
LOGIN_ERR --> LOGIN
CHOICE -- Guest --> GUEST_EMAIL["Enter Email Address"]
GUEST_EMAIL --> SHIPPING
SHIPPING --> VALIDATE_ADDR{Address valid?}
VALIDATE_ADDR -- No --> ADDR_ERR["Show Validation Errors"]
ADDR_ERR --> SHIPPING
VALIDATE_ADDR -- Yes --> DELIVERY["Select Delivery Method"]
DELIVERY --> PAYMENT{Payment method?}
PAYMENT -- Credit Card --> CC["Enter Card Details"]
CC --> CC_VALID{Card valid?}
CC_VALID -- No --> CC_ERR["Show Card Error"]
CC_ERR --> CC
CC_VALID -- Yes --> PROCESS
PAYMENT -- PayPal --> PP["Redirect to PayPal"]
PP --> PP_OK{PayPal authorized?}
PP_OK -- No --> PP_ERR["PayPal Cancelled"]
PP_ERR --> PAYMENT
PP_OK -- Yes --> PROCESS
PROCESS["Process Payment"] --> SUCCESS{Payment successful?}
SUCCESS -- Yes --> CONFIRM["Order Confirmation Page"]
CONFIRM --> END(("End: Order Complete"))
SUCCESS -- No --> DECLINE["Show Decline Message"]
DECLINE --> PAYMENT
style BROWSE fill:#fef3c7,stroke:#f59e0b
style LOGIN_ERR fill:#fee2e2,stroke:#ef4444
style ADDR_ERR fill:#fee2e2,stroke:#ef4444
style CC_ERR fill:#fee2e2,stroke:#ef4444
style PP_ERR fill:#fee2e2,stroke:#ef4444
style DECLINE fill:#fee2e2,stroke:#ef4444
style CONFIRM fill:#d1fae5,stroke:#10b981
style END fill:#d1fae5,stroke:#10b981Metric annotations:
User Request: "Map the onboarding flow for our project management tool. New users sign up, verify email, choose a plan, create their first project, and invite team members."
Agent Response:
graph TD
START(("Entry: Landing Page")) --> SIGNUP["Sign Up Form"]
SIGNUP --> VALIDATE{Form valid?}
VALIDATE -- No --> FORM_ERR["Show Validation Errors"]
FORM_ERR --> SIGNUP
VALIDATE -- Yes --> EMAIL_SENT["Verification Email Sent"]
EMAIL_SENT --> VERIFIED{Email verified?}
VERIFIED -- No, 24h+ --> RESEND["Resend Verification"]
RESEND --> VERIFIED
VERIFIED -- Yes --> PLAN{Choose Plan}
PLAN -- Free --> FREE["Free Plan Selected"]
PLAN -- Pro --> BILLING["Enter Billing Info"]
BILLING --> BILLING_OK{Payment valid?}
BILLING_OK -- No --> BILL_ERR["Show Billing Error"]
BILL_ERR --> BILLING
BILLING_OK -- Yes --> PRO["Pro Plan Activated"]
FREE --> PROFILE["Complete Profile"]
PRO --> PROFILE
PROFILE --> CREATE["Create First Project"]
CREATE --> INVITE{Invite team members?}
INVITE -- Yes --> TEAM["Enter Team Emails"]
TEAM --> INVITES_SENT["Invitations Sent"]
INVITES_SENT --> DASHBOARD
INVITE -- Skip --> DASHBOARD["Dashboard - Onboarding Complete"]
DASHBOARD --> END(("End: Active User"))
style FORM_ERR fill:#fee2e2,stroke:#ef4444
style BILL_ERR fill:#fee2e2,stroke:#ef4444
style RESEND fill:#fef3c7,stroke:#f59e0b
style DASHBOARD fill:#d1fae5,stroke:#10b981
style END fill:#d1fae5,stroke:#10b981Metric annotations and optimization notes:
© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in design-and-ui-ux/user-flow-mapping of seb1n/awesome-ai-agent-skills.
Open the folder on GitHubat commit 75865a5
User Flow Mapping 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 |
|---|---|---|---|---|---|---|
| User Flow Mapping this skillseb1n/awesome-ai-agent-skills | 206 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Impeccablebestofjs/bestofjs | 3.1k | 27 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Interface Design for Dashboards and Appsholaboss-ai/holaOS | 11k | 3 repos | ~6k | Automated safety check: Pass | MIT | |
| Animategrowupanand/ConvoForm | 101 | 6 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Migrate Content Iadocker/docs | 4.7k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| UX WalkthroughXiaoMi/hiui | 877 | — | ~1.3k | Automated safety check: Pass | MIT |
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…
holaboss-ai/holaOS
Pushes an agent past generic defaults when designing dashboards, admin panels, SaaS apps and tools, with attention to structure, type, navigation and how data is shown.
growupanand/ConvoForm
Review a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight.
docker/docs
Handle Hugo docs information-architecture moves: discover old vs new URLs, add front matter aliases (Phase 1), update in-repo links (Phase 2), interactive List 2 resolution and fragment validation…
XiaoMi/hiui
体验走查 skill。适用于代码库、URL、截图三种输入,输出结构化体验问题报告,并同步生成本地 docx 报告。触发词:体验走查、UX review、交互走查、界面审查、体验问题。
rome-os/rome
Audit a design system's color palette against measurable color-science disciplines — WCAG/APCA contrast of declared token pairs, perceptual (OKLCH) ramp uniformity, color-blindness safety of…
seb1n/awesome-ai-agent-skills
Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings.
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
seb1n/awesome-ai-agent-skills
Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows.
seb1n/awesome-ai-agent-skills
Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports, structured errors, and interoperability tests.
seb1n/awesome-ai-agent-skills
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity.
seb1n/awesome-ai-agent-skills
Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk.
Categories
Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys. User Flow Mapping is an agent skill from seb1n/awesome-ai-agent-skills. Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
User Flow Mapping fits situations like: the user requests user flow mapping; provides relevant inputs for this workflow.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a claude-code`. Or copy the skill folder (design-and-ui-ux/user-flow-mapping in seb1n/awesome-ai-agent-skills) into .claude/skills/user-flow-mapping in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a codex`. Or copy the skill folder (design-and-ui-ux/user-flow-mapping in seb1n/awesome-ai-agent-skills) into .agents/skills/user-flow-mapping 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 seb1n/awesome-ai-agent-skills --skill user-flow-mapping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-flow-mapping, .gemini/skills/user-flow-mapping, .github/skills/user-flow-mapping and .opencode/skills/user-flow-mapping in your project.
SKILL.md names no scripts, command-line tools or credentials: User Flow Mapping is instructions for the agent only.
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.
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.
User Flow Mapping is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with User Flow Mapping: Impeccable (bestofjs/bestofjs, 3.1k stars), Interface Design for Dashboards and Apps (holaboss-ai/holaOS, 11k stars), Animate (growupanand/ConvoForm, 101 stars) and Migrate Content Ia (docker/docs, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on August 9, 2026.
Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.