novel-openviking
翰林院 OpenViking 记忆增强 — 将小说写作 pipeline 的设定、摘要、伏笔接入 OpenViking 语义记忆。若你从属于翰林院,当你看到这个skill时,务必加载这个skill。
Free to get · One-click to use
翰林院 OpenViking 记忆增强 — 将小说写作 pipeline 的设定、摘要、伏笔接入 OpenViking 语义记忆。若你从属于翰林院,当你看到这个skill时,务必加载这个skill。
Build new blocks for BlockFlow, the visual pipeline editor for AI video and image generation. Use this skill whenever the user wants to create a new block, extend BlockFlow's functionality, add a pipeline step, build a custom node, or asks about the block architecture. Also trigger when the user mentions "custom_blocks", "frontend.block.tsx", "backend.block.py", block inputs/outputs, port types, or block registration. Even casual requests like "add a block that does X" or "I want a new pipeline step for Y" should use this skill.
Account landscape scanner: surfaces full pipeline, cross-role activity, and EDE coverage across accounts where user is on the deal team. Identifies swarming opportunities where adjacent pipeline exists outside your solution area, and Unified investment signals from package/EDE gaps. Chains with account-structure-diagram and pipeline-hygiene-triage. Triggers: swarm opportunities, account landscape, what else is happening, other pipeline, cross-CSA, EDE alignment, EDE gaps, who else is working, full account view, Unified upsell, package coverage, swarming, adjacent pipeline.
Run the SWE-Gym training pipeline — skill learning, SFT, GRPO, or the full pipeline. Use when the user wants to train skills, fine-tune models, generate tasks, or run the gym pipeline.
Push current branch, create MR/PR, wait for CI pipeline, merge, and clean up branch using auto-mr CLI
Account landscape scanner: surfaces full pipeline, cross-role activity, and EDE coverage across accounts where user is on the deal team. Identifies swarming opportunities where adjacent pipeline exists outside your solution area, and Unified investment signals from package/EDE gaps. Chains with account-structure-diagram and pipeline-hygiene-triage. Triggers: swarm opportunities, account landscape, what else is happening, other pipeline, cross-CSA, EDE alignment, EDE gaps, who else is working, full account view, Unified upsell, package coverage, swarming, adjacent pipeline.
Запуск исследовательского пайплайна Ресерч-тян для глубокого анализа тем. Trigger phrases: загрузи мой ресерч пайплайн, запусти ресерч-тян, исследуй тему, найди информацию про, проведи исследование, run research pipeline, investigate.
Campaign coordination specialist managing multi-agent pipeline execution, stage dependencies, and cross-agent communication. Ensures campaign content flows through the pipeline efficiently.
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: