「defi」の検索結果

Write effective system prompts for TD AI agents. Covers role definition, constraint specification, output formatting, tool usage instructions, and prompt structure patterns.

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Comprehensive guide for the agent permissions and approval system. Use when an agent needs to request user approval for sensitive operations, when implementing new approval policies, when integrating platform-specific approval UIs (Slack buttons, WhatsApp replies, Dashboard modals), or when troubleshooting approval flows. Covers policy definition, platform adapters, and the complete approval lifecycle.

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Initialize or improve AGENTS.md files that define how coding agents operate in a repo. Use when asked to set up or replace an agent init command (Codex, Claude), standardize multi-agent behavior, or audit an existing AGENTS.md for clarity, commands, boundaries, and repo-specific context. For Claude Code, also create CLAUDE.md as a symlink to AGENTS.md.

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Use this skill when architecting new Claude Code agents following Anthropic best practices. Guides through YAML frontmatter creation, agent structure definition, role boundaries, and validation. Critical for creating minimal agent files (~150 lines) with proper skill invocations. Examples: <example>Context: User wants to create a new agent for security auditing user: "Create a security-auditor agent" assistant: "I'll use the agent-creator skill to build this agent following Anthropic best practices" <commentary>New agent creation requires the agent-creator skill to ensure proper structure and YAML frontmatter.</commentary></example> <example>Context: Existing agent file is too verbose and needs refactoring user: "The architect agent is 2000 lines, refactor it to minimal structure" assistant: "I'll use the agent-creator skill to refactor this into a minimal ~150 line agent with a separate skill file" <commentary>Agent refactoring requires the agent-creator skill to separate identity from technical procedures.</commentary></example>

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[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.

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Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates TypeScript interfaces and Python Pydantic models.

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Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.

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Generates Agent definitions (.md files) based on user intent and standard templates.

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Works out a company's go-to-market motion (product-led, sales-led or hybrid) from its website and pricing, then maps the funnel stage by stage: a definition, strategy, leading inputs the team controls, lagging outputs with targets, cadence and owner for each stage, MQL, SQL and PQL criteria, post-sale stages, closed-lost re-entry paths and backward funnel maths from a revenue target. Triggers: "funnel strategy", "funnel stages", "pipeline stages", "PLG vs SLG", "lead qualification criteria", "map our sales process", "how do leads flow". Feeds /goals. Not for setting the target itself (use /goals).

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Develop positioning strategy with anchor, differentiators, status-quo alternatives, and a positioning statement. Reads from marketing/icp/ICP.md + marketing/competitors/aggregate.md. Writes to marketing/positioning/positioning.md as the canonical positioning every downstream skill reads. Triggers - "positioning", "category definition", "how do we position", "positioning strategy", "anchor + differentiators"

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Generate a topic-focused briefing in HTML from public news sources. Use when user asks for a briefing / observation / digest / 简报 / 观察 on any subject — region (Middle East, ASEAN, India), industry (semiconductors, EV supply chain, AI), policy issue (AI regulation, critical minerals, cross-border payments), institution (Fed, ECB, IMF), or theme. Output is a single self-contained HTML file with blue-color "TOPIC BRIEF" branding, optimized for both browser viewing and direct copy-paste into 微信公众号 / WeChat Official Account editor. Walks through 5 steps with one user confirmation midway. Do NOT use this skill for short summaries (<1000 字), single-piece news commentary, or already-defined report templates.

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Read or maintain MotherDuck Guides for business definitions, join rules, and reusable warehouse conventions.

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Write unit and E2E tests for Grafana visualization panels and viz utilities to the conventions this repo expects. Use when adding, backfilling, or reviewing tests for panels (barchart, timeseries, table, xychart, heatmap, canvas, etc.), grafana-ui viz components (Table, uPlot, VizLegend, VizTooltip), or grafana-data viz utils; when a panel test only asserts "it rendered" or "it's defined"; when reviewing AI-generated panel tests for slop; or when a canvas/rendering test is flaky.

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Write unit and E2E tests for Grafana frontend code (React/TypeScript, any package or feature area) to the conventions this repo expects. Use when adding, backfilling, or reviewing frontend tests; when a test only asserts "it rendered" or "it's defined"; when reviewing AI-generated tests for slop; or when a frontend test is flaky. For visualization panels and grafana-ui viz components specifically, also load the `panel-testing-strategy` skill.

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Build a plug-in-ready SDR operator package for sales development and outbound pipeline work: ICP definition, compliant lead-source plan, enrichment/research workflow, account scoring, outbound assets, CRM handoff, reply triage, meeting prep, approval gates, and loop memory. Use when "SDR", "sales development", "outbound SDR", "operator room", "lead gen pipeline", "prospecting pipeline", "ICP targeting", "Apify", "RapidAPI", "Clay", "Apollo", "agentic SDR workflow", "sales operating loop", "sales dashboard handoff", or any request to package outbound sales workflows that can later connect to data tools, CRMs, or operator surfaces.

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Build a complete cold email outreach system — ICP definition, sequence architecture, personalization strategy, and batch-produced email sequences with CAN-SPAM/deliverability compliance. Use when "cold outreach", "cold email sequence", "outbound campaign", "prospecting emails", "sales outreach", "build outreach sequence", or any request to create systematic cold email campaigns for lead generation.

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Head-to-Head Token Comparison — compares two tokens across market cap, tokenomics, on-chain activity, DeFi metrics, sentiment, technicals, and risk profile with a scored comparison table and overall recommendation

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Full Crypto Analysis Orchestrator — launches 5 parallel subagents for comprehensive multi-dimensional token analysis with composite Crypto Score

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Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

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Detect documentation and architecture-model drift by comparing source-of-truth code (CLI commands, flags, env vars, GH Action inputs/outputs, package structure, pipeline stages, providers, adapters, platforms) against web docs, README, and LikeC4 architecture model (.c4 files). Use when files that define the user-facing interface or internal structure change, when the user asks to check docs, or when mentioning doc drift, architecture drift, stale docs, or documentation sync.

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Lints Protocol Buffer definitions using the Buf CLI ruleset and validates gRPC service contracts. Detects breaking changes between proto revisions using buf breaking with git integration.

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Use Google Agent Development Kit to define, test, evaluate, and deploy code-first Python agents with tools, sessions, HITL confirmation, and multi-agent orchestration.

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Use Kiln to create eval datasets, rate outputs, optimize prompts and models, and ship the same AI task or agent definition from a local workbench into production code.

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BorgBackup (Borg) is a deduplicating backup program with optional compression and authenticated encryption. It uses content-defined chunking for space-efficient daily backups, making it ideal for automating secure incremental backups to local or remote SSH targets.

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