14,315 Open Skills

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✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

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hvkshetry hvkshetry
from GitHub Data & AI
category data budget

budgeting

Personal budgeting and financial planning skill. Use when: (1) Analyzing spending patterns by category or time period, (2) Comparing budget vs actual spending, (3) Calculating savings rates, (4) Forecasting cash flow, (5) Planning tax-aware financial decisions. Tools: actual-mcp for budget/transaction data, ghostfolio-mcp for investment portfolio context. --- # Personal Budgeting ## Tool Mapping | Task | MCP Server | Key Tools | |------|-----------|-----------| | Transaction history, balances, budgets | actual-mcp | `get_transactions`, `get_accounts`, `get_budget_months` | | Category breakdowns | actual-mcp | `get_categories`, `get_category_groups` | | Investment balances and allocation | ghostfolio-mcp | `get_portfolio_summary`, `get_portfolio_positions` | | Net worth calculation | Both | Actual (cash/debt) + Ghostfolio (investments) | ## Spending Analysis ### Category Breakdown 1. Pull transactions for the target period using `get_transactions` with date range filters 2. Group by category — report both absolute amounts and percentage of total spend 3. Flag categories that exceed their budget allocation 4. Present results as a ranked table: Category | Budgeted | Actual | Variance | % of Total ### Month-over-Month Trends 1. Pull 3-6 months of transaction data 2. Compute per-category monthly totals 3. Calculate month-over-month change (absolute and percentage) 4. Flag categories with sustained increases (3+ consecutive months of growth) 5. Distinguish between recurring/fixed expenses (rent, insurance, subscriptions) and variable expenses (groceries, dining, entertainment) ### Anomaly Detection - Flag individual transactions > 2x the category's average transaction size - Flag categories where current month spend exceeds the trailing 3-month average by > 25% - Flag new payees not seen in prior months (potential new subscriptions) ## Budget vs Actual Variance Analysis ### Monthly Variance Report 1. Pull budget allocations via `get_budget_months` for the target month 2.

⬇0 ❤9 1 day ago · Uploaded Detail →
aldefy aldefy
from GitHub Tools & Productivity
recomposition budget references

rebound

Rebound recomposition budget monitor skill for Compose performance analysis. Guides budget class interpretation, violation diagnosis, skip rate analysis, stability optimization, CLI usage, and IDE plugin workflow. Use this skill whenever the user mentions recomposition, budget, violation, Rebound, skip rate, jank, performance, composable slow, recompose, @ReboundBudget, budget class, recomposition rate, skip percentage, forced recomposition, param-driven, stability, unstable parameters, or asks why a composable is recomposing too often. Also trigger when the user says "my composable is slow", "too many recompositions", "budget exceeded", "recomposition spike", or asks about Compose runtime performance monitoring. --- # Rebound — Recomposition Budget Monitor Skill Practical guidance for diagnosing and fixing Compose recomposition performance issues using Rebound's compiler plugin, runtime, IDE plugin, and CLI tooling. ## Workflow When helping with Compose recomposition performance, follow this checklist: ### 1. Understand the problem - Is this a setup question, a violation diagnosis, or a stability optimization? - Is the user looking at CLI output, IDE data, or logcat warnings? - What platform? Android, iOS simulator, iOS physical device, or KMP? ### 2. Consult the right reference Read the relevant reference file(s) from `references/` before answering: | Topic | Reference File | |-------|---------------| | Budget classes, thresholds, color coding, dynamic scaling, `@ReboundBudget` | `references/budget-classes.md` | | Violation patterns per budget class, diagnostic workflow, code fixes | `references/diagnosing-violations.md` | | CLI commands, JSON snapshot structure, connection modes, netcat queries | `references/cli-usage.md` | | IDE 5-tab cockpit, editor integration, connection setup | `references/ide-plugin.md` | | Gradle plugin setup, config options, KMP, iOS relay, Kotlin version matrix | `references/setup-guide.md` | | Skip rate formula, `$changed` bitmask, para

⬇0 ❤2 2 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up