- 📄 SKILL.md
jvm-skills
Group uncommitted changes into logical feature commits.
Group uncommitted changes into logical feature commits.
Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.
Binary analysis and reverse engineering workflow using checksec, strings, binwalk, radare2, ropgadget, and gdb for CTF and vulnerability research
Навык для AI-агентов: поиск и установка навыков из каталога NeuralDeep.
Design, validate, scaffold, and visualize multi-agent topologies using the .at language
Assay an experiment — deep analysis of results with cross-run comparison
Code coverage analysis tools. These tools help analyze and visualize code coverage for test execution, upload coverage data to Neo4j, and display coverage statistics. Available tools: run-coverage, show-coverage.
Opinionated, autonomous PR review for AGENTVIZ. Hunts for duplicate code, dead code, UI/UX style violations, missing tests, architecture drift, and slop. Run before opening a PR or to self-review your branch.
Periodic memory maintenance and cleanup. Finds duplicates, conflicts, stale conversations, and quality issues in the memory database. Proposes fixes for user approval — never auto-deletes or auto-modifies. Use when user says "clean up memories", "memory maintenance", "check memory health", or invokes /rekal-hygiene. Run monthly or when conflicts are piling up.
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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
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: