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53 results for "yagni"

ponytail-gain

ponytail-gain

85Kprompting-reasoning

Show ponytail's measured impact as a compact scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display, not a persistent mode, and not a per-repo number. Trigger: /ponytail-gain, "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".

dietrichgebert avatardietrichgebert
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ponytail-help

ponytail-help

84Kagent-workflows

Quick-reference card for all ponytail modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".

dietrichgebert avatardietrichgebert
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ponytail-debt

ponytail-debt

84Kprompting-reasoning

Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.

dietrichgebert avatardietrichgebert
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ponytail-review

ponytail-review

83Kprompting-reasoning

Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness-focused review, this one only hunts complexity.

dietrichgebert avatardietrichgebert
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ponytail-audit

ponytail-audit

83Kprompting-reasoning

Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.

dietrichgebert avatardietrichgebert
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ponytail

ponytail

79Kcode-generation

Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).

dietrichgebert avatardietrichgebert
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clean-code-guard

clean-code-guard

1.1Kcode-generation

Review generated or changed production code before it ships, using Clean Code, SOLID, DRY, KISS, YAGNI, and LLM-specific failure-mode checks in any programming language. Best used reactively after an agent writes, edits, refactors, or fixes code, before presenting, committing, or merging the result. Use when the user asks "review this PR", "is this safe to merge?", "make this cleaner", "audit this code", "refactor this", "fix this bug", or after a coding agent produced implementation code. Can also guide writing when explicitly invoked before a risky edit. Invoke it on your own initiative the moment you finish writing, editing, or refactoring non-trivial production code, before presenting or committing — don't wait to be asked. DO NOT USE for factual/conceptual questions, CI/tooling config, git workflow, running/debugging tests, pure architecture discussion, prose writing, data analysis, or test-code review (use test-guard).

amelnagdy avataramelnagdy
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nanobanana

nanobanana

3backend-api

Gemini-native Nano Banana image generation and editing across Nano Banana, Nano Banana 2, and Nano Banana Pro. Use when you need text-to-image, image-to-image edits, repeated local references, batch generation, dry-run request inspection, or a custom Gemini-compatible base URL such as a self-hosted gateway.

gargantuax avatargargantuax
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jianying-editor

jianying-editor

2.9Kagent-workflows

剪映 (JianYing) AI自动化剪辑的高级封装 API (JyWrapper),提供开箱即用的 Python 接口,支持录屏、素材导入、字幕生成、Web 动效合成及项目导出。全面适配 MacOS (Apple Silicon/Intel) 与 Windows,支持 v5.9+ (draft_info.json) 架构、工程自修复、智能配音字幕及录屏变焦。

luoluoluo22 avatarluoluoluo22
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kami

kami

9.8Kdesign-ui

Typeset professional documents and product landing pages: resumes, one-pagers, white papers, letters, portfolios, slide decks, landing pages. Warm parchment, ink-blue accent, serif-led hierarchy. CN uses TsangerJinKai02, EN uses Charter, JA uses YuMincho (best-effort). Triggers on "做 PDF / 排版 / 一页纸 / 白皮书 / 作品集 / 简历 / PPT / slides / Marp / markdown slides / マークダウンのスライド / 落地页 / 官网 / landing page / product page", or "build me a resume / make a one-pager / design a slide deck / turn this into a PDF / make this presentable / create a landing page".

tw93 avatartw93
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nano-banana-2

nano-banana-2

2research-knowledge

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runcomfy-com avatarruncomfy-com
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vertex-ai-api-dev

vertex-ai-api-dev

4Kbackend-api

Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

google-gemini avatargoogle-gemini
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gemini

gemini

386Kmcp-integrations

Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.

openclaw avataropenclaw
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fastapi

fastapi

101Kbackend-api

FastAPI best practices and conventions. Use when working with FastAPI APIs, Pydantic models, dependencies, streaming responses including Server-Sent Events (SSE), and serving frontend apps. Keeps FastAPI code clean and up to date with the latest features and patterns.

fastapi avatarfastapi
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nano-banana-2

nano-banana-2

2research-knowledge

>

doany-ai avatardoany-ai
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nano-banana-2

nano-banana-2

20research-knowledge

>

agentspace-so avataragentspace-so
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nature-experiment-log

nature-experiment-log

33Kresearch-knowledge

标准化实验日志记录——直接上传或读取本地图片、语音和文字,产出带 YAML frontmatter 的 Markdown;可选集成飞书 CLI 与 Obsidian。

yuan1z0825 avataryuan1z0825
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gemini-api

gemini-api

15Kresearch-knowledge

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google avatargoogle
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agnes-ai-generation

agnes-ai-generation

378testing-qa

Call Agnes AI / Sapiens AI generation APIs for text, image, and video. Use when the user asks to use Agnes models, Agnes Image, Agnes Video, Agnes 2.0 Flash, apihub.agnes-ai.com, or to generate text, images, edit images, create videos, animate images, create keyframe videos, or test Agnes API calls.

yacey avataryacey
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gmgn-cooking

gmgn-cooking

380backend-api

[FINANCIAL EXECUTION] Create and launch meme coins and crypto tokens on launchpads (Pump.fun, FourMeme, Bonk, BAGS, Flap, Klik, Clanker, etc.) via bonding curve fair launch, or query token creation stats by launchpad via GMGN API. Requires explicit user confirmation. Use when user asks to create a token, launch a meme coin, cook a coin, deploy on a launchpad, or check launchpad creation stats on Solana, BSC, or Base.

gmgnai avatargmgnai
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ljg-think

ljg-think

6.6Kdevops-cloud

追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.

lijigang avatarlijigang
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baoyu-danger-gemini-web

baoyu-danger-gemini-web

22Kbrowser-web

Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.

jimliu avatarjimliu
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sf-ai-agentforce

sf-ai-agentforce

423testing-qa

Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types. TRIGGER when: user maintains or configures Builder metadata agents, creates topics/actions, works with Prompt Builder templates, or touches .genAiFunction, .genAiPlugin, or .genAiPromptTemplate metadata XML files. DO NOT TRIGGER when: Agent Script DSL .agent files (use sf-ai-agentscript), agent testing (use sf-ai-agentforce-testing), or persona design (use sf-ai-agentforce-persona).

jaganpro avatarjaganpro
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gemini-interactions-api

gemini-interactions-api

3.8Kresearch-knowledge

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.

google-gemini avatargoogle-gemini
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