Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新
免费在 GitHub 公开
personalization-at-scale
Generate unique personalized first lines for hundreds of prospects using company news, LinkedIn activity, and mutual connections. Saves 10+ hours of manual research per campaign. Use when you need personalized outreach at volume.
中文简介正在准备中。当前显示原文说明。
集成工具LinkedIn
实测评分 未实测
查看安装方法包含的文件（7）
- SKILL.md2.4 KB
- references/benchmarks.md1.8 KB
- references/example-campaigns.md1.6 KB
- references/fallbacks.md1.2 KB
- references/output-template.md2.5 KB
- references/patterns-by-type.md5.9 KB
- references/research-sources.md1.5 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Personalization at Scale
Generate hundreds of unique, researched first lines in minutes instead of hours, making cold outreach feel warm.
Contents
references/research-sources.md- signal sources, personalization styles, quality standardsreferences/patterns-by-type.md- sample first lines and tables for each angle (congrats, observation, mutual connection, company news, hiring, tech stack, thought leadership, shared background)references/fallbacks.md- role/stage/industry/competitor lines for prospects with no anglereferences/output-template.md- full campaign deliverable structurereferences/benchmarks.md- expected lift, A/B reference data, pro tips (do/don't)references/example-campaigns.md- worked campaign examples by persona
Workflow
-
Ingest the prospect list (CSV or pasted). Require First Name, Last Name, Title, Company; use LinkedIn URL, email, website, industry, size, and location when available.
-
Confirm preferences: which personalization styles to prioritize (1-3), tone (professional, casual, direct, consultative), and any exclusions (recency cutoff, personal topics, sensitive subjects).
-
Research each prospect across the sources in
references/research-sources.md. Identify the strongest, most recent, verifiable angle per prospect. -
Match each prospect to its angle and draft from the matching pattern in
references/patterns-by-type.md. For prospects with no angle, draft fromreferences/fallbacks.md. -
Generate 2-3 first-line options per prospect, each with a confidence score (High/Medium/Low) and notes on alternative angles. Follow the structure in
references/output-template.md. -
Quality-check the first 10 manually. Confirm each line is specific, recent, relevant, natural, and verifiable before scaling the batch.
-
Export in the requested format: CSV with personalization columns, merge fields for the outreach tool (Outreach, Salesloft), individual drafts, or copy-paste blocks.
-
Track response rates by personalization type and refresh personalizations every 30 days as activity changes.
See references/benchmarks.md for target success rates and references/example-campaigns.md for persona-specific approaches.
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
中文简介正在准备中。当前显示原文说明。
OneWave-AI/claude-skills3682026年10月20日 更新