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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8801 | write-unit-tests | tldraw/tldraw |
Writing tests Unit and integration tests use Vitest. Tests run from workspace directories, not the repo root. Test file locations Unit tests - alongside source files: packages/editor/src/lib/primitives/Vec.ts packages/editor/src/lib/primitives/Vec.test.ts Same directory Integration tests - in src/test/ directory: packages/tldraw/src/test/SelectTool.test.ts packages/tldraw/src/test/commands/createShape.test.ts Shape/tool tests - alongside the implementation: packages/tldraw/src/lib/sh...
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| 8802 | scientific-visualization | k-dense-ai/scientific-agent-skills |
Scientific Visualization Overview Scientific visualization transforms data into clear, accurate figures for publication. Create journal-ready plots with multi-panel layouts, error bars, significance markers, and colorblind-safe palettes. Export as PDF/EPS/TIFF using matplotlib, seaborn, and plotly for manuscripts. When to Use This Skill This skill should be used when: Creating plots or visualizations for scientific manuscripts Preparing figures for journal submission (Nature, Science, Cell, ...
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| 8803 | hugging-face-datasets | huggingface/skills |
Overview This skill provides tools to manage datasets on the Hugging Face Hub with a focus on creation, configuration, content management, and SQL-based data manipulation. It is designed to complement the existing Hugging Face MCP server by providing dataset editing and querying capabilities. Integration with HF MCP Server Use HF MCP Server for: Dataset discovery, search, and metadata retrieval Use This Skill for: Dataset creation, content editing, SQL queries, data transformation, and structu...
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| 8804 | eve-web-ui-testing-agent-browser | incept5/eve-skillpacks |
Web UI Testing with agent-browser Use agent-browser as the default CLI for deterministic UI checks. Install agent-browser macOS/Linux (recommended) npm install -g agent-browser agent-browser install Linux containers/VMs that need extra browser libs agent-browser install --with-deps Alternative install on macOS: brew install agent-browser agent-browser install Configure for Reliable Runs Use isolated state for each test target: one session per test flow agent-browser --session login-flow open ...
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| 8805 | research-planning | lingzhi227/agent-research-skills |
Research Planning Create comprehensive research plans and paper architectures from a research topic or idea. Input $0 — Research topic, idea description, or paper to reproduce References Planning prompts from Paper2Code, AI-Researcher, AgentLaboratory: ~/.claude/skills/research-planning/references/planning-prompts.md Output schemas and templates: ~/.claude/skills/research-planning/references/output-schemas.md Workflow Step 1: Understand the Research Context Read any provided papers, code, or ref...
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| 8806 | critical-code-reviewer | posit-dev/skills |
You are a senior engineer conducting PR reviews with zero tolerance for mediocrity and laziness. Your mission is to ruthlessly identify every flaw, inefficiency, and bad practice in the submitted code. Assume the worst intentions and the sloppiest habits. Your job is to protect the codebase from unchecked entropy. You are not performatively negative; you are constructively brutal. Your reviews must be direct, specific, and actionable. You can identify and praise elegant and thoughtful code when ...
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| 8807 | thought-based-reasoning | neolabhq/context-engineering-kit |
Thought-Based Reasoning Techniques for LLMs Overview Chain-of-Thought (CoT) prompting and its variants encourage LLMs to generate intermediate reasoning steps before arriving at a final answer, significantly improving performance on complex reasoning tasks. These techniques transform how models approach problems by making implicit reasoning explicit. Quick Reference Technique When to Use Complexity Accuracy Gain Zero-shot CoT Quick reasoning, no examples available Low +20-60% Few-shot CoT Have...
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| 8808 | encore-database | encoredev/skills |
Encore Database Operations Instructions Database Setup import { SQLDatabase } from "encore.dev/storage/sqldb"; const db = new SQLDatabase("mydb", { migrations: "./migrations", }); Query Methods Encore provides three main query methods: query - Multiple Rows Returns an async iterator for multiple rows: interface User { id: string; email: string; name: string; } const rows = await db.query<User>` SELECT id, email, name FROM users WHERE active = true `; const users: User[] = []; f...
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| 8809 | ast-grep-find | parcadei/continuous-claude-v3 |
AST-Grep Find Structural code search that understands syntax. Find patterns like function calls, imports, class definitions - not just text. When to Use Find code patterns (ignores strings/comments) Search for function calls, class definitions, imports Refactor code with AST precision Rename variables/functions across codebase Usage Search for a pattern uv run python -m runtime.harness scripts/ast_grep_find.py \ --pattern "import asyncio" --language python Search in specific directory uv ...
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| 8810 | nano-banana-2 | intellectronica/agent-skills |
Nano Banana 2 — Pro Pack on RunComfy runcomfy.com · Model page · GitHub Google Nano Banana 2 — the flash-tier text-to-image model in the Gemini family — hosted on the RunComfy Model API . Optimized for ideation, social-thumbnail batches, and rapid drafts with strong in-image typography. npx skills add agentspace-so/runcomfy-skills --skill nano-banana-2 -g When to pick this model (vs siblings) Nano Banana 2 is the flash-tier of the Google image-gen line. Pick it when iteration speed and predictab...
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| 8811 | obsidian-bases | davila7/claude-code-templates |
Obsidian Bases Skill This skill enables skills-compatible agents to create and edit valid Obsidian Bases (.base files) including views, filters, formulas, and all related configurations. Overview Obsidian Bases are YAML-based files that define dynamic views of notes in an Obsidian vault. A Base file can contain multiple views, global filters, formulas, property configurations, and custom summaries. File Format Base files use the .base extension and contain valid YAML. They can also be embed...
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| 8812 | openalex-database | davila7/claude-code-templates |
OpenAlex Database Overview OpenAlex is a comprehensive open catalog of 240M+ scholarly works, authors, institutions, topics, sources, publishers, and funders. This skill provides tools and workflows for querying the OpenAlex API to search literature, analyze research output, track citations, and conduct bibliometric studies. Quick Start Basic Setup Always initialize the client with an email address to access the polite pool (10x rate limit boost): from scripts.openalex_client import OpenAlex...
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| 8813 | micro-saas-launcher | davila7/claude-code-templates |
Micro-SaaS Launcher Role: Micro-SaaS Launch Architect You ship fast and iterate. You know the difference between a side project and a business. You've seen what works in the indie hacker community. You help people go from idea to paying customers in weeks, not years. You focus on sustainable, profitable businesses - not unicorn hunting. Capabilities Micro-SaaS strategy MVP scoping Pricing strategies Launch playbooks Indie hacker patterns Solo founder tech stack Early traction SaaS metrics Pat...
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| 8814 | subagent-driven-development | davila7/claude-code-templates |
Subagent-Driven Development Execute plan by dispatching fresh subagent per task, with two-stage review after each: spec compliance review first, then code quality review. Why subagents: You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for...
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| 8815 | mcp-builder | davila7/claude-code-templates |
MCP Server Development Guide Overview Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks. Process 🚀 High-Level Workflow Creating a high-quality MCP server involves four main phases: Phase 1: Deep Research and Planning 1.1 Understand Modern MCP Design API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverag...
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| 8816 | docx-official | sickn33/antigravity-awesome-skills |
DOCX creation, editing, and analysis Overview A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks. Workflow Decision Tree Reading/Analyzing Content Use "Text extraction" or "Raw XML access" sections below Creating New Document Use "Creating a new Word document" workflow Editing Existing Document...
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| 8817 | braintrust-tracing | parcadei/continuous-claude-v3 |
Braintrust Tracing for Claude Code Comprehensive guide to tracing Claude Code sessions in Braintrust, including sub-agent correlation. Architecture Overview PARENT SESSION +---------------------+ | SessionStart | | (creates root) | +----------+----------+ | +----------v----------+ | UserPromptSubmit | ...
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| 8818 | debug-hooks | parcadei/continuous-claude-v3 |
Debug Hooks Systematic workflow for debugging Claude Code hooks. When to Use "Hook isn't firing" "Hook produces wrong output" "SessionEnd not working" "PostToolUse hook not triggering" "Why didn't my hook run?" Workflow 1. Check Outputs First (Observe Before Editing) Check project cache ls -la $CLAUDE_PROJECT_DIR/.claude/cache/ Check specific outputs ls -la $CLAUDE_PROJECT_DIR/.claude/cache/learnings/ Check for debug logs tail $CLAUDE_PROJECT_DIR/.claude/cache/*.log 2>/dev/null Also che...
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| 8819 | implement_plan | parcadei/continuous-claude-v3 |
Implement Plan You are tasked with implementing an approved technical plan from thoughts/shared/plans/. These plans contain phases with specific changes and success criteria. Execution Modes You have two execution modes: Mode 1: Direct Implementation (Default) For small plans (3 or fewer tasks) or when user requests direct implementation. You implement each phase yourself Context accumulates in main conversation Use this for quick, focused implementations Mode 2: Agent Orchestration (Recom...
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| 8820 | frontend-accessibility-best-practices | sergiodxa/agent-skills |
Accessibility patterns for building inclusive React applications following WCAG standards. Contains 7 rules across 4 categories focused on semantic HTML, screen reader support, keyboard navigation, and user preferences. When to Apply Reference these guidelines when: - Creating new UI components - Building forms and interactive elements - Adding dynamic content or notifications - Implementing navigation patterns - Reviewing code for accessibility Rules Summary Semantic HTML & Structur...
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| 8821 | skill-creator | bobmatnyc/claude-mpm-skills |
Skill Creator A skill for creating new skills and iteratively improving them. At a high level, the process of creating a skill goes like this: Decide what you want the skill to do and roughly how it should do it Write a draft of the skill Create a few test prompts and run claude-with-access-to-the-skill on them Help the user evaluate the results both qualitatively and quantitatively While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you...
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| 8822 | ce:review | everyinc/compound-engineering-plugin |
Review Command <command_purpose> Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and Git worktrees for deep local inspection. </command_purpose> Introduction Senior Code Review Architect with expertise in security, performance, architecture, and quality assurance Prerequisites Main Tasks 1. Determine Review Target & Setup (ALWAYS FIRST) <review_target> $ARGUMENTS </review_target> Immediate Actions: <task_list> Determine review type: PR number (numeric), GitHub URL, fi...
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| 8823 | handover | adobe/skills |
Project Handover Documentation Generate comprehensive handover documentation for Edge Delivery Services projects. This skill orchestrates the creation of guides for different audiences. When to Use This Skill "Generate project handover docs" "Create handover documentation" "Generate project guides" "Handover package" "Project documentation" Available Documentation Types Show more
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| 8824 | livewire-development | spatie/freek.dev |
Livewire Development When to Apply Activate this skill when: Creating or modifying Livewire components Using wire: directives (model, click, loading, sort, intersect) Implementing islands or async actions Writing Livewire component tests Documentation Use search-docs for detailed Livewire 4 patterns and documentation. Basic Usage Creating Components Single-file component (default in v4) {{ $assist->artisanCommand('make:livewire create-post') }} Multi-file component {{ $assist->artisanCommand('ma...
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| 8825 | senior-pm | alirezarezvani/claude-skills |
Senior Project Management Expert Overview Strategic project management for enterprise software, SaaS, and digital transformation initiatives. Provides portfolio management capabilities, quantitative analysis tools, and executive-level reporting frameworks for complex, multi-project portfolios. Core Expertise Areas Portfolio Management & Strategic Alignment Multi-project portfolio optimization using advanced prioritization models (WSJF, RICE, ICE, MoSCoW) Strategic roadmap development aligned wit...
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| 8826 | svelte-runes | spences10/svelte-skills-kit |
Svelte Runes Quick Start Which rune? Props: $props() | Bindable: $bindable() | Computed: $derived() | Side effect: $effect() | State: $state() Key rules: Runes are top-level only. $derived can be overridden (use const for read-only). Don't mix Svelte 4/5 syntax. Objects/arrays are deeply reactive by default. Example <script> let count = $state(0); // Mutable state const doubled = $derived(count * 2); // Computed (const = read-only) $effect(() => { console.log(`Count is ${count}`); // Si...
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| 8827 | dependency-auditor | useai-pro/openclaw-skills-security |
Dependency Auditor You are a dependency security auditor for OpenClaw. When a skill tries to install packages or you review a project's dependencies, check for security issues. When to Audit Before running npm install , pip install , go get commands suggested by a skill When reviewing a skill that adds dependencies to package.json or requirements.txt When a skill suggests installing a package you haven't used before During periodic security audits of your project Audit Checklist 1. Package Legit...
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| 8828 | ocr | mr-shaper/opencode-skills-paddle-ocr |
OCR Skill Usage To extract text from an image or PDF, run: python3 "/Users/mrshaper/Library/Application Support/com.differentai.openwork/workspaces/starter/.opencode/skills/paddle-ocr/scripts/ocr.py" "/path/to/image.png" Options Option Description --prompt "text" Custom prompt (e.g., "Extract table as markdown") --fast Use faster PaddleOCR instead of DeepSeek-OCR --json Output as JSON format Examples Basic OCR python3 scripts/ocr.py image.png Extract table as markdown python3 scripts/ocr.py ta...
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| 8829 | littlesnitch-linux | aradotso/trending-skills |
Little Snitch for Linux — eBPF Network Monitor Skill by ara.so — Daily 2026 Skills collection. Little Snitch for Linux is an open-source eBPF-based network monitoring and blocking toolkit written in Rust. It attaches eBPF programs to the Linux kernel to intercept network connections, then shares data between kernel and user space via eBPF maps. The open-source portion includes eBPF programs, shared types, and a demo runner; the full product from Objective Development includes additional propriet...
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| 8830 | mcp integration | davila7/claude-code-templates |
MCP Integration for Claude Code Plugins Overview Model Context Protocol (MCP) enables Claude Code plugins to integrate with external services and APIs by providing structured tool access. Use MCP integration to expose external service capabilities as tools within Claude Code. Key capabilities: Connect to external services (databases, APIs, file systems) Provide 10+ related tools from a single service Handle OAuth and complex authentication flows Bundle MCP servers with plugins for automatic setu...
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| 8831 | dspy | davila7/claude-code-templates |
DSPy: Declarative Language Model Programming When to Use This Skill Use DSPy when you need to: Build complex AI systems with multiple components and workflows Program LMs declaratively instead of manual prompt engineering Optimize prompts automatically using data-driven methods Create modular AI pipelines that are maintainable and portable Improve model outputs systematically with optimizers Build RAG systems, agents, or classifiers with better reliability GitHub Stars: 22,000+ | Created By: ...
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| 8832 | ml-paper-writing | davila7/claude-code-templates |
ML Paper Writing for Top AI Conferences Expert-level guidance for writing publication-ready papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists. Core Philosophy: Collaborative Writing Paper writing is collaborative, but Claude should be proactive in delivering drafts. The typical workflo...
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| 8833 | create-handoff | parcadei/continuous-claude-v3 |
Create Handoff You are tasked with writing a handoff document to hand off your work to another agent in a new session. You will create a handoff document that is thorough, but also concise. The goal is to compact and summarize your context without losing any of the key details of what you're working on. Process 1. Filepath & Metadata Use the following information to understand how to create your document: First, determine the session name from existing handoffs: ls -td thoughts/shared/hando...
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| 8834 | background-agent-pings | parcadei/continuous-claude-v3 |
Background Agent Pings Trust system reminders as agent progress notifications. Don't poll. Pattern When you launch a background agent, continue working on other tasks. The system will notify you via reminders when: Agent makes progress: Agent <id> progress: X new tools used, Y new tokens Agent writes output file (check the path you specified) DO 1. Task(run_in_background=true, prompt="... Output to: .claude/cache/agents/<type>/output.md") 2. Continue with next task immediately 3. When system...
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| 8835 | mobile-developer | daffy0208/ai-dev-standards |
Use this skill when Working on mobile developer tasks or workflows Needing guidance, best practices, or checklists for mobile developer Do not use this skill when The task is unrelated to mobile developer You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook.md . You...
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| 8836 | django-drf | prowler-cloud/prowler |
Critical Patterns ALWAYS separate serializers by operation: Read / Create / Update / Include ALWAYS use filterset_class for complex filtering (not filterset_fields) ALWAYS validate unknown fields in write serializers (inherit BaseWriteSerializer) ALWAYS use select_related/prefetch_related in get_queryset() to avoid N+1 ALWAYS handle swagger_fake_view in get_queryset() for schema generation ALWAYS use @extend_schema_field for OpenAPI docs on SerializerMethodField NEVER put business logic in seria...
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| 8837 | monitoring-observability | ahmedasmar/devops-claude-skills |
Monitoring & Observability When to use this skill Before Production Deployment : Essential monitoring system setup Performance Issues : Identify bottlenecks Incident Response : Quick root cause identification SLA Compliance : Track availability/response times Instructions Step 1: Metrics Collection (Prometheus) Application Instrumentation (Node.js): import express from 'express' ; import promClient from 'prom-client' ; const app = express ( ) ; // Default metrics (CPU, Memory, etc.) promClient ....
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| 8838 | alicloud-ai-image-qwen-image | cinience/alicloud-skills |
Category: provider Model Studio Qwen Image Validation mkdir -p output/alicloud-ai-image-qwen-image python -m py_compile skills/ai/image/alicloud-ai-image-qwen-image/scripts/generate_image.py && echo "py_compile_ok" > output/alicloud-ai-image-qwen-image/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-image-qwen-image/validate.txt is generated. Output And Evidence Write generated image URLs, prompts, and metadata to output/alicloud-ai-image-qwen-image/ . Keep at least one sample...
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| 8839 | tempo | grafana/skills |
Grafana Tempo - Distributed Tracing Backend Grafana Tempo is an open-source, high-scale distributed tracing backend. It is: Cost-efficient : only requires object storage (S3, GCS, Azure) to operate Deeply integrated : with Grafana, Mimir, Prometheus, Loki, and Pyroscope Protocol-agnostic : accepts OTLP, Jaeger, Zipkin, OpenCensus, Kafka Quick Reference Links TraceQL Language Reference - query syntax, operators, examples, metrics functions Configuration Reference - all YAML config blocks with def...
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| 8840 | industry-research | rkreddyp/investrecipes |
A comprehensive skill for conducting deep industry research across multiple sectors including consumer, technology, healthcare, and finance industries. Description This skill provides reusable methodologies, frameworks, and best practices for analyzing industry trends, identifying key market players, understanding market dynamics, tracking industry news, and forecasting future outlooks. Core Research Areas 1. Industry Trends Analysis - Current market trends and growth patterns - Emergin...
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| 8841 | android-architecture | new-silvermoon/awesome-android-agent-skills |
Android Modern Architecture & Modularization Instructions When designing or refactoring an Android application, adhere to the Guide to App Architecture and Clean Architecture principles. 1. High-Level Layers Structure the application into three primary layers. Dependencies must strictly flow inwards (or downwards) to the core logic. UI Layer (Presentation) : Responsibility : Displaying data and handling user interactions. Components : Activities, Fragments, Composables, ViewModels. Dependencies ...
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| 8842 | skillclaw-skill-evolution | aradotso/trending-skills |
SkillClaw: Collective Skill Evolution for LLM Agents Skill by ara.so — Daily 2026 Skills collection. SkillClaw is a framework that makes LLM agents progressively smarter by evolving reusable skills from real session data and sharing them across a group of agents. It intercepts OpenAI-compatible API calls via a local proxy, records session artifacts, and runs an evolve server that distills experience into SKILL.md files synced via cloud storage (OSS/S3/local). Architecture User → OpenClaw Agent →...
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| 8843 | databricks-core | databricks/databricks-agent-skills |
Databricks Core skill for Databricks CLI, authentication, and data exploration. Product Skills For specific products, use dedicated skills: databricks-jobs - Lakeflow Jobs development and deployment databricks-pipelines - Lakeflow Spark Declarative Pipelines (batch and streaming data pipelines) databricks-apps - Full-stack TypeScript app development and deployment databricks-lakebase - Lakebase Postgres Autoscaling project management databricks-model-serving - Model Serving endpoint management a...
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| 8844 | lovart-api | lovartai/lovart-skill |
⚠️ RULE 0: ONLY USE SKILL COMMANDS — NO DIRECT API CALLS You MUST interact with Lovart EXCLUSIVELY through the commands defined in this skill. NEVER construct URLs, make curl/wget/fetch requests, or call Lovart APIs directly NEVER guess API endpoints, paths, or parameters — only use the commands listed below NEVER modify the skill's source code (agent_skill.py) during execution to "debug" issues (users may freely read the source to verify it) If a command fails, retry it or report the error to t...
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| 8845 | meshyai | opusgamelabs/game-creator |
Meshy AI — 3D Model Generation, Rigging & Animation You are an expert at generating custom 3D models with Meshy AI and integrating them into Three.js browser games. Meshy is the preferred source for all 3D game assets — it generates exactly what you need from a text description or reference image, with consistent art style and game-ready topology. Performance Notes Take your time with each step. Quality is more important than speed. Do not skip validation steps — they catch issues early. Read th...
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| 8846 | ralplan | yeachan-heo/oh-my-claudecode |
This is an alias for `/plan --consensus` Ralplan orchestrates three specialized agents—Planner, Architect, and Critic—in an iterative loop until consensus is reached on a comprehensive work plan. Usage ``` /oh-my-claudecode:ralplan [task] ``` What It Does Invokes the plan skill with --consensus mode, which: - Creates initial plan with Planner agent - Consults Architect for architectural questions - Reviews with Critic agent - Iterates until Critic approves (max 5 iterations) Implem...
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| 8847 | story-consistency-monitor | wordflowlab/novel-writer-skills |
故事一致性监控 自动检查系统 本技能监控什么 角色一致性 物理特征:眼睛颜色、身高、年龄、疤痕 性格:行动符合已建立的角色 知识:角色只知道他们应该知道的 成长:变化与角色弧线一致 世界规则 魔法/科技系统:力量的使用一致 地理:距离和地点保持稳定 社会规则:文化和习俗不矛盾 物理法则:已建立的规则不随机打破 时间线逻辑 事件顺序:A 在逻辑上发生在 B 之前 时间流逝:角色适当地老化 同时事件:多 POV 时间线对齐 历史一致性:过去的引用保持一致 如何工作 被动监控:当你写作或讨论故事时,我会自动交叉参考: characters/ 目录中的角色档案 worldbuilding/ 目录中的世界构建文档 spec/tracking/timeline.json 中的时间线数据 之前章节的内容 不需要你采取任何行动 - 监控在后台进行。 当检测到问题时 警报格式 当我检测到潜在不一致时,我会用以下方式提醒你: ⚠️ 一致性检查警报 问题:角色特征不匹配 位置:当前章节,第3段 参考:characters/mary-chen.md,第15行 当前文本:"玛丽的绿色眼睛眯起.....
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| 8848 | directory-build-organization | dotnet/skills |
Organizing Build Infrastructure with Directory.Build Files Directory.Build.props vs Directory.Build.targets Understanding which file to use is critical. They differ in when they are imported during evaluation: Evaluation order: Directory.Build.props → SDK .props → YourProject.csproj → SDK .targets → Directory.Build.targets Use .props for Use .targets for Setting property defaults Custom build targets Common item definitions Late-bound property overrides Properties projects can override Post-buil...
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| 8849 | transcript-fixer | daymade/claude-code-skills |
Transcript Fixer Correct speech-to-text transcription errors through dictionary-based rules, AI-powered corrections, and automatic pattern detection. Build a personalized knowledge base that learns from each correction. When to Use This Skill Correcting ASR/STT errors in meeting notes, lectures, or interviews Building domain-specific correction dictionaries Fixing Chinese/English homophone errors or technical terminology Collaborating on shared correction knowledge bases Prerequisites Python ...
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| 8850 | deep-research | sickn33/antigravity-awesome-skills |
Deep Research Core System Instructions Purpose: Deliver citation-backed, verified research reports through 8-phase pipeline (Scope → Plan → Retrieve → Triangulate → Synthesize → Critique → Refine → Package) with source credibility scoring and progressive context management. Context Strategy: This skill uses 2025 context engineering best practices: Static instructions cached (this section) Progressive disclosure (load references only when needed) Avoid "loss in the middle" (critical info at start...
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