███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 13751 | dev-session | jezweb/claude-skills |
Dev Session Manage multi-session development work with structured progress files, checkpoint commits, and durable learnings. Produces SESSION.md files that survive context compaction and enable clean handoff between sessions. Operating Modes Mode 1: Start Session When : Beginning multi-step work, "start session", "new session for [feature]" Check if SESSION.md already exists in the project root If yes: read it and ask whether to continue the existing session or start fresh If no: create from tem...
|
357 |
| 13752 | react-native-app | aj-geddes/useful-ai-prompts |
React Native App Development Overview Create robust cross-platform mobile applications using React Native with modern development patterns including navigation, state management, API integration, and native module handling. When to Use Building iOS and Android apps from single codebase Rapid prototyping for mobile platforms Leveraging web development skills for mobile Sharing code between React Native and React Web Integrating with native modules and APIs Instructions 1. Project Setup & Naviga...
|
357 |
| 13753 | gguf-quantization | davila7/claude-code-templates |
GGUF - Quantization Format for llama.cpp The GGUF (GPT-Generated Unified Format) is the standard file format for llama.cpp, enabling efficient inference on CPUs, Apple Silicon, and GPUs with flexible quantization options. When to use GGUF Use GGUF when: Deploying on consumer hardware (laptops, desktops) Running on Apple Silicon (M1/M2/M3) with Metal acceleration Need CPU inference without GPU requirements Want flexible quantization (Q2_K to Q8_0) Using local AI tools (LM Studio, Ollama, text...
|
357 |
| 13754 | task-execution-engine | davila7/claude-code-templates |
Feature Pipeline Execute implementation tasks directly from design documents. Tasks are managed as markdown checkboxes - no separate session files needed. Quick Reference Get next task python3 scripts/task_manager.py next --file <design.md> Mark task completed python3 scripts/task_manager.py done --file <design.md> --task "Task Title" Mark task failed python3 scripts/task_manager.py fail --file <design.md> --task "Task Title" --reason "..." Show status python3 scripts/task_manager.py st...
|
357 |
| 13755 | app-store-optimization | davila7/claude-code-templates |
App Store Optimization (ASO) Search visibility and conversion optimization for App Store product pages. This skill covers strategic metadata decisions -- which keywords to target, how to structure descriptions for conversion, and how to use Custom Product Pages and in-app events for discoverability. For metadata compliance rules (character limits, screenshot device requirements, rejection triggers), see the app-store-review skill. Contents Show more Installs 1.7K Repository dpearson2699/sw…s-ski...
|
357 |
| 13756 | treatment-plans | davila7/claude-code-templates |
No SKILL.md available for this skill. View on GitHub
|
357 |
| 13757 | bun-development | davila7/claude-code-templates |
⚡ Bun Development Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by oven-sh/bun . When to Use This Skill Use this skill when: Starting new JS/TS projects with Bun Migrating from Node.js to Bun Optimizing development speed Using Bun's built-in tools (bundler, test runner) Troubleshooting Bun-specific issues 1. Getting Started 1.1 Installation Show more Installs 2.7K Repository sickn33/agentic…e-skills GitHub Stars 45.0K First Seen Jan 19, 2026 Security Audits Gen Ag...
|
357 |
| 13758 | it-operations | davila7/claude-code-templates |
IT Operations Expert A comprehensive skill for managing IT infrastructure operations, ensuring service reliability, implementing monitoring and alerting strategies, managing incidents, and maintaining operational excellence through automation and best practices. Core Principles 1. Service Reliability First Proactive Monitoring: Implement comprehensive observability before incidents occur Incident Management: Structured response processes with clear escalation paths SLA/SLO Management: Define a...
|
357 |
| 13759 | parallel-agents | davila7/claude-code-templates |
Native Parallel Agents Orchestration through Claude Code's built-in Agent Tool Overview This skill enables coordinating multiple specialized agents through Claude Code's native agent system. Unlike external scripts, this approach keeps all orchestration within Claude's control. When to Use Orchestration ✅ Good for: Complex tasks requiring multiple expertise domains Code analysis from security, performance, and quality perspectives Comprehensive reviews (architecture + security + testing) F...
|
357 |
| 13760 | codex | davila7/claude-code-templates |
Codex Skill Guide Running a Task Default to gpt-5.2 model. Ask the user (via AskUserQuestion ) which reasoning effort to use ( xhigh , high , medium , or low ). User can override model if needed (see Model Options below). Select the sandbox mode required for the task; default to --sandbox read-only unless edits or network access are necessary. Assemble the command with the appropriate options: -m, --model <MODEL> --config model_reasoning_effort="<high|medium|low>" --sandbox <read-only|workspace-...
|
357 |
| 13761 | mcp-chaining | parcadei/continuous-claude-v3 |
MCP Chaining Pipeline A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows. When to Use Building multi-tool MCP pipelines Understanding how to chain MCP calls with graceful degradation Debugging MCP environment variable issues Learning the tool naming conventions for different MCP servers What We Built A pipeline that chains these tools: Step Server Tool ID Purpose 1 nia nia__search Search library documentation 2 ast-grep ast-grep__find_code Find AST code pattern...
|
357 |
| 13762 | explicit-identity | parcadei/continuous-claude-v3 |
Explicit Identity Across Boundaries Never rely on "latest" or "current" when crossing process or async boundaries. Pattern Pass explicit identifiers through the entire pipeline. "Most recent" is a race condition. DO Pass --session-id $ID when spawning processes Store IDs in state files for later correlation Use full UUIDs, not partial matches Keep different ID types separate (don't collapse concepts) DON'T Query for "most recent session" at execution time Assume the current context will stil...
|
357 |
| 13763 | shadcn-layouts | jwynia/agent-skills |
shadcn/Tailwind Layouts Help generate shadcn/Tailwind components that render correctly the first time. Most agent-generated UI fails due to missing mental models about how CSS layout works—not syntax errors, but assumption gaps. When to Use This Skill Use this skill when: Creating shadcn/Tailwind layouts Debugging height/scroll issues Fixing flex/grid problems Setting up full-page app shells Do NOT use this skill when: Writing backend code Working on non-Tailwind CSS projects Designing (us...
|
356 |
| 13764 | jest-typescript | bobmatnyc/claude-mpm-skills |
Jest + TypeScript - Industry Standard Testing Overview Jest is the industry-standard testing framework with 70% market share, providing a mature, battle-tested ecosystem for TypeScript projects. It offers comprehensive testing capabilities with built-in snapshot testing, mocking, and coverage reporting. Key Features: 🏆 Industry Standard: 70% market share, widely adopted 📦 All-in-One: Test runner, assertions, mocks, coverage in one package 📸 Snapshot Testing: Built-in snapshot support for UI t...
|
356 |
| 13765 | telegram-mini-app | davila7/claude-code-templates |
Telegram Mini App Expert in building Telegram Mini Apps (TWA) - web apps that run inside Telegram with native-like experience. Covers the TON ecosystem, Telegram Web App API, payments, user authentication, and building viral mini apps that monetize. Role : Telegram Mini App Architect You build apps where 800M+ Telegram users already are. You understand the Mini App ecosystem is exploding - games, DeFi, utilities, social apps. You know TON blockchain and how to monetize with crypto. You design fo...
|
356 |
| 13766 | social-graphics | sanky369/vibe-building-skills |
Social Graphics Skill Overview Social Graphics creates platform-specific visual content optimized for engagement. This skill teaches you to generate graphics that perform well on each platform. Keywords: social media graphics, social posts, platform-optimized, Instagram graphics, LinkedIn posts, Twitter graphics, TikTok graphics, social content Core Methodology Social graphics have three layers: Platform Optimization — Size, format, and best practices Visual Design — Eye-catching compositio...
|
356 |
| 13767 | prose-style | jwynia/agent-skills |
Prose Style: Diagnostic Skill You diagnose sentence-level craft problems in fiction. Your role is to identify why prose fails to serve the story and guide writers toward vigorous, intentional writing. Core Principle Style is not decoration; style is content. The way something is written shapes what it means. As Truman Capote observed: "I believe a story can be wrecked by a faulty rhythm in a sentence—especially if it occurs toward the end—or a mistake in paragraphing, even punctuation." Pr...
|
356 |
| 13768 | parallel-agent-contracts | parcadei/continuous-claude-v3 |
Parallel Agent Type Contracts When launching parallel agents for code implementation, prevent type duplication. Required in Every Agent Prompt 1. Verification Command (MANDATORY) Before Marking Complete Run verification: \`\`\`bash npx tsc --noEmit 2>&1 | head -20 \`\`\` If ANY type errors exist, fix them before completing. 2. Grep-Before-Create Before Creating Any Type/Interface First check if it exists: \`\`\`bash grep -r "interface YourTypeName\|type YourTypeName" src/ \`\`\` If found, i...
|
356 |
| 13769 | clinical-decision-support | davila7/claude-code-templates |
No SKILL.md available for this skill. View on GitHub
|
356 |
| 13770 | outlines | davila7/claude-code-templates |
Outlines: Structured Text Generation When to Use This Skill Use Outlines when you need to: Guarantee valid JSON/XML/code structure during generation Use Pydantic models for type-safe outputs Support local models (Transformers, llama.cpp, vLLM) Maximize inference speed with zero-overhead structured generation Generate against JSON schemas automatically Control token sampling at the grammar level GitHub Stars: 8,000+ | From: dottxt.ai (formerly .txt) Installation Base installation pip install...
|
356 |
| 13771 | morph-apply | parcadei/continuous-claude-v3 |
Morph Fast Apply Fast, AI-powered file editing using the Morph Apply API. Edit files without reading them first. Processes at 10,500 tokens/sec with 98% accuracy. When to Use Fast file edits without reading entire file first Batch edits to a file (multiple changes in one operation) When you know what to change but file is large Large files where reading would consume too many tokens Key Pattern: Code Markers Use // ... existing code ... (or language-appropriate comments) to mark where edits g...
|
356 |
| 13772 | fpf:query | neolabhq/context-engineering-kit |
Query Knowledge Search the FPF knowledge base and display hypothesis details with assurance information. Action (Run-Time) Search .fpf/knowledge/ and .fpf/decisions/ by user query. For each found hypothesis , display: Basic info: title, layer (L0/L1/L2), kind, scope If layer >= L1: read audit section for R_eff If has dependencies: show dependency graph Evidence summary if exists Present results in table format. Search Locations Location Contents .fpf/knowledge/L0/ Proposed hypotheses .fpf/knowle...
|
355 |
| 13773 | dx-data-navigator | pskoett/pskoett-ai-skills |
DX Data Navigator Install npx skills add pskoett/pskoett-ai-skills/dx-data-navigator Query the DX Data Cloud PostgreSQL database using the mcp__dx-mcp-server__queryData tool. Tool Usage mcp__dx-mcp-server__queryData(sql: "SELECT ...") Always query information_schema.columns first if uncertain about table/column names: SELECT column_name , data_type FROM information_schema . columns WHERE table_name = 'table_name' ORDER BY ordinal_position ; Critical: Team Tables Three team table types exist - us...
|
355 |
| 13774 | tdd-migration-pipeline | parcadei/continuous-claude-v3 |
TDD Migration Pipeline Orchestrator-only workflow for migrating or rewriting codebases. You do NOT read files, write code, or validate anything yourself. You only instruct agents and pipe context (paths, not contents). When to Use Migrating codebase from one language/framework to another Rewriting a system with TDD guarantees Large-scale refactoring with behavioral contracts When you want zero context growth in the orchestrator Core Principles ZERO orchestrator execution - only instruct and pi...
|
355 |
| 13775 | best-practices | skillcreatorai/ai-agent-skills |
Best practices Modern web development standards based on Lighthouse best practices audits. Covers security, browser compatibility, and code quality patterns. Security HTTPS everywhere Enforce HTTPS: <!-- ❌ Mixed content --> <img src="http://example.com/image.jpg"> <script src="http://cdn.example.com/script.js"></script> <!-- ✅ HTTPS only --> <img src="https://example.com/image.jpg"> <script src="https://cdn.example.com/script.js"></script> <!-- ✅ Protocol-relative (will use page's protocol...
|
355 |
| 13776 | shape-your-agent | sanity-io/agent-context |
Shape Your Agent An optional, conversational workflow for creating a system prompt for an AI agent that uses the Sanity Agent Context MCP. This is for users who control the system prompt in their agent setup. Don't have access to the system prompt? Skip this skill entirely. The Instructions field (configured via the dial-your-context skill) is the primary lever and works on its own. A minimal system prompt like "You are a helpful agent." combined with good Instructions field content scores 80%+ ...
|
355 |
| 13777 | postmark | activecampaign/postmark-skills |
Postmark Skills Postmark is a transactional email platform built for developers, with 15+ years of deliverability expertise. These skills teach AI agents how to use the Postmark API effectively. Sub-Skills Feature Skill Use When Sending emails postmark-send-email Sending transactional or broadcast emails — single, batch, bulk, or with templates Inbound processing postmark-inbound Processing incoming emails via webhooks, building reply-by-email, email-to-ticket, or document extraction Template ma...
|
355 |
| 13778 | anomaly detection | aj-geddes/useful-ai-prompts |
Anomaly Detection Overview Anomaly detection identifies unusual patterns, outliers, and anomalies in data that deviate significantly from normal behavior, enabling fraud detection and system monitoring. When to Use Detecting fraudulent transactions or suspicious activity in financial data Identifying system failures, network intrusions, or security breaches Monitoring manufacturing quality and identifying defective products Finding unusual patterns in healthcare data or patient vital signs Detec...
|
355 |
| 13779 | user-persona-creation | aj-geddes/useful-ai-prompts |
User Persona Creation Overview User personas synthesize research into realistic user profiles that guide design, development, and marketing decisions. When to Use Starting product design Feature prioritization Marketing messaging User research synthesis Team alignment on users Journey mapping Success metrics definition Instructions 1. Research & Data Collection Gather data for persona development class PersonaResearch: def conduct_interviews(self, target_sample_size=12): """Inter...
|
355 |
| 13780 | background-job-processing | aj-geddes/useful-ai-prompts |
Background Job Processing Overview Build robust background job processing systems with distributed task queues, worker pools, job scheduling, error handling, retry policies, and monitoring for efficient asynchronous task execution. When to Use Handling long-running operations asynchronously Sending emails in background Generating reports or exports Processing large datasets Scheduling recurring tasks Distributing compute-intensive operations Instructions 1. Python with Celery and Redis celery...
|
355 |
| 13781 | creative-intelligence | aj-geddes/claude-code-bmad-skills |
Creative Intelligence Role: Creative Intelligence System specialist Function: Facilitate structured brainstorming, conduct research, generate creative solutions Responsibilities Lead brainstorming sessions using proven techniques Conduct market and competitive research Generate creative solutions to complex problems Facilitate idea generation and refinement Document research findings and insights Support innovation across all BMAD phases Core Principles Structured Creativity - Use proven fram...
|
355 |
| 13782 | debugging-streamlit | streamlit/streamlit |
Debugging Streamlit Apps Quick Start make debug my_app.py This starts both backend (Streamlit/Python) and frontend (Vite/React) with hot-reload. The app URL is printed on startup (default http://localhost:3001 ; 3000 is reserved for manual make frontend-dev ; it may use 3002+ if other debug sessions are running). Avoid pinning VITE_PORT unless you have a specific hard requirement (last resort). Hot-reload behavior: Frontend : Changes to frontend/ code are applied within seconds. Backend : Only c...
|
355 |
| 13783 | sympy | davila7/claude-code-templates |
SymPy - Symbolic Mathematics in Python Overview SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using SymPy. When to Use This Skill Use this skill when: Solving equations symbolically (algebraic, differential, systems of equations) Perform...
|
355 |
| 13784 | firebase | davila7/claude-code-templates |
Firebase Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized...
|
355 |
| 13785 | codebase-cleanup-deps-audit | sickn33/antigravity-awesome-skills |
Dependency Audit and Security Analysis You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies. Use this skill when Auditing dependencies for vulnerabilities Checking license compliance or supply-chain risks Identifying outdated packages and upgrade paths Preparing security reports or remedia...
|
355 |
| 13786 | environment-triage | parcadei/continuous-claude-v3 |
Environment Triage When uv sync or pip install behaves unexpectedly, check the actual interpreter. Pattern System Python is not authoritative if uv/venv selects a different interpreter. DO What uv ACTUALLY uses uv run python --version What's pinned (this controls uv) cat .python-version Confirm package is installed uv pip show <package> Confirm import works in uv context uv run python -c "import <package>; print(<package>.__version__)" Common Fix If optional deps require Python 3.12...
|
355 |
| 13787 | implement_plan_micro | parcadei/continuous-claude-v3 |
Formal Specification Multimodal Logic Integration Five modal logics via fusion with bridge principles: JL: Justification Logic - evidence-backed claims IEL: Inferential Erotetic Logic - question handling TEL: Temporal Epistemic Logic - phase sequencing SDL: Standard Deontic Logic - obligations/permissions DEL: Dynamic Epistemic Logic - action modalities Justification Logic (JL) Justification terms [h]:context(task_n) Handoff h justifies task context [v]:verified(phase_n) ...
|
355 |
| 13788 | nansen-smart-money-tracker | nansen-ai/nansen-cli |
Smart Money All commands: nansen research smart-money <sub> [options] Subcommands Netflow — what tokens are smart money accumulating? nansen research smart-money netflow --chain solana --limit 10 DEX trades — real-time spot trades by smart money nansen research smart-money dex-trades --chain solana --labels "Smart Trader" --limit 20 Holdings — aggregated SM portfolio nansen research smart-money holdings --chain solana --limit 10 Perp trades — Hyperliquid only (no --chain needed) nansen resea...
|
355 |
| 13789 | write-e2e-tests | tldraw/tldraw |
Writing E2E tests E2E tests use Playwright. Located in apps/examples/e2e/ (SDK examples) and apps/dotcom/client/e2e/ (tldraw.com). Test file structure apps/examples/e2e/ ├── fixtures/ │ ├── fixtures.ts Test fixtures (toolbar, menus, etc.) │ └── menus/ Page object models ├── tests/ │ └── test-*.spec.ts Test files └── shared-e2e.ts Shared utilities Name test files test-<feature>.spec.ts. Required declarations When using page.evaluate() to access the ...
|
355 |
| 13790 | dial-your-context | sanity-io/agent-context |
Dial Your Context Help a user create the Instructions field content for their Sanity Agent Context MCP. The goal is a concise set of pure deltas — only information the agent can't figure out from the auto-generated schema. What you're building The Agent Context MCP already provides the agent with: A compressed schema of all document types and fields A GROQ query tutorial (~194 lines) Response style guidance Tool descriptions for GROQ queries, semantic search, etc. The Instructions field you're c...
|
355 |
| 13791 | agent-development | jezweb/claude-skills |
Agent Development for Claude Code Plugins Overview Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities. Key concepts: Agents are FOR autonomous work, commands are FOR user-initiated actions Markdown file format with YAML frontmatter Triggering via description field with examples System prompt defines agent behavior Model and color cu...
|
354 |
| 13792 | image-gen | jezweb/claude-skills |
When to Use User wants to generate an AI image from a text description User says "generate image", "draw", "create picture", "配图" User says "生成图片", "画一张", "AI图" User needs a cover image, illustration, or concept art When NOT to Use User wants to create audio content (use /podcast , /speech ) User wants to create a video (use /explainer ) User wants to edit an existing image (not supported) User wants to extract content from a URL (use /content-parser ) Purpose Generate AI images using the Listen...
|
354 |
| 13793 | shapely-compute | parcadei/continuous-claude-v3 |
Computational Geometry with Shapely When to Use Creating geometric shapes (points, lines, polygons) Boolean operations (intersection, union, difference) Spatial predicates (contains, intersects, within) Measurements (area, length, distance, centroid) Geometry transformations (translate, rotate, scale) Validating and fixing invalid geometries Quick Reference I want to... Command Example Create geometry create create polygon --coords "0,0 1,0 1,1 0,1" Intersection op intersection op intersection -...
|
354 |
| 13794 | feature engineering | aj-geddes/useful-ai-prompts |
Feature Engineering Overview Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations. When to Use When you need to improve model performance beyond using raw features When dealing with categorical variables that need encoding for ML algorithms When features have different scales and require normalization When creating domain-specific features based on business knowledge When h...
|
354 |
| 13795 | agentica-prompts | parcadei/continuous-claude-v3 |
Agentica Prompt Engineering Write prompts that Agentica agents reliably follow. Standard natural language prompts fail ~35% of the time due to LLM instruction ambiguity. The Orchestration Pattern Proven workflow for context-preserving agent orchestration: 1. RESEARCH (Nia) → Output to .claude/cache/agents/research/ ↓ 2. PLAN (RP-CLI) → Reads research, outputs .claude/cache/agents/plan/ ↓ 3. VALIDATE → Checks plan against best practices ↓ 4. IMPLEMENT (...
|
354 |
| 13796 | outline-coach | jwynia/agent-skills |
Outline Coach: Assistive Structural Guidance Skill You are an outline coach. Your role is to help writers develop their own story structure through questions, diagnosis, and guided exploration. You never generate outline content for them. The Core Constraint You do not generate: Scene beats or beat sequences Character arc mappings Plot structure proposals Worldbuilding systems Pacing recommendations as specific structures Sample prose or dialogue Any structural content they could copy into t...
|
354 |
| 13797 | data-scientist | borghei/claude-skills |
Use this skill when Working on data scientist tasks or workflows Needing guidance, best practices, or checklists for data scientist Do not use this skill when The task is unrelated to data scientist 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. You are a data scientist specializing in advanced analytics, machine learning, statistic...
|
354 |
| 13798 | video-summarizer | liang121/video-summarizer |
Video Summarizer Overview Download videos from any platform and generate a complete resource package including: Original video file (mp4) Audio file (mp3) Subtitle file (with timestamps, vtt/srt format) Summary file (summary.md) Supports all 1800+ websites supported by yt-dlp. Trigger Conditions When the user: Provides a video link and asks for a summary Says "summarize this video", "what's in this video" Asks to "extract video content", "transcribe video" Says "download this video" Provides a l...
|
354 |
| 13799 | agentica-claude-proxy | parcadei/continuous-claude-v3 |
Agentica-Claude Code Proxy Integration Use this skill when developing or debugging the Agentica-Claude proxy integration. When to Use Setting up Agentica agents to use Claude Code tools Debugging agent hallucination issues Fixing permission errors in file operations Understanding the REPL response format Architecture Overview Agentica Agent → S_M_BASE_URL → Claude Proxy → claude -p → Claude CLI (with tools) (localhost:2345) (localhost:8080) Critical Requirements 1. --allowe...
|
354 |
| 13800 | migrate | parcadei/continuous-claude-v3 |
Migrate to AgentControl You're using a skill that will guide you through migrating an application from hardcoded LLM prompts to a full LaunchDarkly AgentControl implementation. Your job is to run the migration in five stages , stopping at each stage for the user to confirm: Audit the code — read-only scan that produces a structured list of everything hardcoded (prompt, model, parameters, tools, app-scoped knobs). Wrap the call — install the SDK, create the config in LaunchDarkly with a fallback ...
|
354 |