- 📄 SKILL.md
assay
Assay an experiment — deep analysis of results with cross-run comparison
Assay an experiment — deep analysis of results with cross-run comparison
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
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Manage Paperclip AI companies, agents, issues, projects, goals, routines, costs, and secrets via REST API. Use when creating companies, hiring agents, assigning tasks, managing budgets, approving hires, or checking dashboards on a Paperclip instance.
Generates UiPath Studio XAML workflows, project scaffolds (sequence/dispatcher/performer), and expressions via 94 deterministic Python generators (plus additional generators from installed plugin skills). Use when the user mentions UiPath, XAML, RPA, REFramework, Orchestrator, or UiPath Studio development. --- # UiPath Core Skill > ⚠️ **Safety Rules** (I-1, I-2 in `rules.md`) > - Playwright/browser inspection is **READ-ONLY**. Login page → STOP, WAIT for user. See `ui-inspection.md` → Login Gate. > - Desktop inspection via PowerShell (`inspect-ui-tree.ps1`): read-only tree inspection only. > - NEVER generate credentials, tokens, or passwords — real or fake. Generate production-quality UiPath automation artifacts using real Studio-exported templates and comprehensive reference documentation. Template baseline: Studio 24.10 Windows. ## When To Read Which Reference **Start here.** Match the user's task to the right file, then read only what's needed. For files > 200 lines, use `grep` or line-range reads — never read entire large files or XAML assets. ### Common Tasks (check these first) | Task | Read first | |---|---| | Generate a XAML workflow (any kind) | `cheat-sheet.md` → JSON spec patterns → `scripts/generate_workflow.py` **(G-1)** | | Scaffold a project | `scaffolding.md` → Template Selection → run `scripts/scaffold_project.py` | | Generate a full project (checklist) | `scaffolding.md` → "Generating a Full Project" checklist | | Inspect a web app (selectors) | `ui-inspection.md` → Playwright MCP workflow → `playwright-selectors.md` | | Validate XAML | Run `scripts/validate_xaml <project> --lint` | | Fix a specific lint warning | `lint-reference.md` → search by lint number | | Write an expression (VB.NET/C#) | `expr-foundations.md` (start here for any expression task) | | Decomposition / project structure | `decomposition.md` → Decomposition rules (Universal 1-8, Browser 9-13, Desktop 14) | | Fix a user's .xaml file | `skill-guide.md` → Example 6 | | Action Center
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Build immersive 3D web experiences with Three.js, React Three Fiber, Spline, and WebGL. Covers product configurators, 3D portfolios, scroll-driven 3D, model pipeline optimization, performance budgets, and interactive scenes. Use when building 3D websites, three.js scenes, or WebGL experiences.
Use when the user wants to view, change, or reset their persistent preferences, or when triggered by "/caliper-settings", "my settings", "change defaults".
Schedule recurring tasks (cron) and periodic agent check-ins (heartbeat).
Ask a specific AI model (codex, gemini, grok, perplexity, claude) for focused analysis or a second opinion
Complete architecture guide for building features from database to UI. Routes to frontend/, fullstack/, mobile/, backend/, or sdks/ based on detected stack. Covers decomposition, multi-tenant isolation, auth model, query patterns, and component patterns.
Add or update a model in the harness model registry. Use when the user wants to add a new AI model, update model pricing, or change default models for a harness.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: