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Import Skills

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Soneso Soneso
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
swift horizon devops

stellar-ios-sdk

Build Stellar blockchain applications in Swift using stellar-ios-mac-sdk. Use when generating Swift code for transaction building, signing, Horizon API queries, Soroban RPC, smart contract deployment and invocation, XDR encoding/decoding, and SEP protocol integration. Covers 26+ operations, 50 Horizon endpoints, 12 RPC methods, and 17 SEP implementations with Swift async/await and callback-based streaming patterns. Full Swift 6 strict concurrency support (all types Sendable).

⬇0 ❤129 27 days ago · Uploaded Detail →
microsoft microsoft
from GitHub Data & AI
  • 📄 SKILL.md
data kql patterns

kql

KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Eventhouse, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.

⬇0 ❤113 13 days ago · Uploaded Detail →
QSong-github QSong-github
from GitHub Databases & Storage
  • 📄 __init__.py
  • 📄 adrecs_skill.py
  • 📄 example.py
drug adrecs dataframe

ADReCS-query

Query the ADReCS (Adverse Drug Reaction Classification System) v3.3 database. Use whenever the user asks about adverse drug reactions, drug safety profiles, ADR classification, ADR severity/frequency, or wants to look up any entity (drug name, BADD Drug ID, DrugBank ID, ATC code, CAS RN, PubChem CID, KEGG ID, ADR term, ADReCS ID, MedDRA code, MeSH ID) in ADReCS. --- # ADReCS Query Skill Search ADReCS v3.3 records by any entity. Auto-detects type by prefix: | Input Pattern | Detected As | Example | |---|---|---| | `BADD_D00142` | BADD Drug ID | exact on drug_id column | | `DB00945` | DrugBank ID | resolved via Drug_information | | `A02BC01` | ATC code | resolved via Drug_information | | `50-78-2` | CAS RN | resolved via Drug_information | | `CID2244` or bare digits | PubChem CID | resolved via Drug_information | | `D00109` (5-digit) | KEGG ID | resolved via Drug_information | | `08.06.02.001` | ADReCS ID | substring on ADReCS_ID column | | `10003781` (8-digit) | MedDRA code | resolved via ADR_ontology | | `D######` (6+ digit) | MeSH ID | resolved via ADR_ontology | | anything else | free text | substring on drug_name OR ADR_term | ## API | Function | Input | Returns | |---|---|---| | `load_drug_adr(path)` | txt path | DataFrame (Drug–ADR pairs) | | `load_drug_info(path)` | xlsx path | DataFrame (drug metadata) | | `load_adr_ontology(path)` | xlsx path | DataFrame (ADR hierarchy) | | `search(entity)` | single entity string | DataFrame of matching Drug–ADR rows | | `search_batch(entities)` | list of entity strings | dict[str, DataFrame] | | `summarize(hits, entity)` | DataFrame + label | compact LLM-readable text | | `to_json(hits)` | DataFrame | list[dict] | ## Usage See `if __name__ == "__main__"` block in `62_ADReCS.py` for runnable examples covering: drug name lookup, BADD Drug ID, DrugBank ID, ADR term, ADReCS ID prefix, batch search, and JSON output. ## Data - **Source**: ADReCS v3.3 — [https://www.bio-add.org/ADReCS/](https://www.bio-add.org/ADReCS/) - **Primary

⬇0 ❤127 26 days ago · Uploaded Detail →
specula-org specula-org
from GitHub Development & Coding
  • 📄 guide.md
  • 📄 SKILL.md
bug real counterexample

bug-confirmation

Bug confirmation and reproduction. Use when: (1) a bug has been found by model checking and needs code-level validation, (2) reproducing a bug in the real system to confirm it is not a false positive, (3) assessing whether a TLA+ counterexample maps to a real triggerable scenario.

⬇0 ❤128 29 days ago · Uploaded Detail →
EvoScientist EvoScientist
from GitHub Content & Multimedia
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md
slide deck creating

academic-slides

Use this skill for creating or refining an academic slide deck and the talk built around it: structuring a conference talk, thesis defense, lab meeting, or paper-to-slides deck; deciding the narrative arc and slide breakdown; improving slide design and visual hierarchy; planning rehearsal, timing, Q&A, and backup slides; or generating the .pptx. Reach for it when the user is shaping the presentation itself. Do not use for writing the paper, producing standalone speaker notes/scripts/transcripts, making posters, creating isolated figures/charts outside a slide deck, or building non-academic presentations.

⬇0 ❤128 29 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