--- id: daily-compose-outreach name: "compose-outreach" url: https://skills.yangsir.net/skill/daily-compose-outreach author: anthropics domain: sales tags: ["sales-outreach", "personalization", "lead-generation", "sales-enablement", "b2b-sales"] install_count: 1300 rating: 4.30 (42 reviews) github: https://github.com/anthropics/knowledge-work-plugins --- # compose-outreach > 基于Common Room信号生成个性化邮件、电话脚本和LinkedIn消息，提升外联转化率 **Stats**: 1,300 installs · 4.3/5 (42 reviews) ## Before / After 对比 ### 外联效果对比 **Before**: 手动撰写群发模板邮件，缺乏个性化，打开率不足5%，大量邮件被忽略，电话脚本千篇一律无法引起客户兴趣，LinkedIn消息石沉大海无人回复 **After**: 基于Common Room信号自动生成个性化邮件、电话脚本和LinkedIn消息，精准切入客户痛点，打开率提升至25%以上，多渠道协同触达显著提高回复率 | Metric | Before | After | Change | |---|---|---|---| | 回复率 | 5% | 25% | +400% | ## Readme # compose-outreach # Compose Outreach Generate three personalized outreach formats — email, call script, and LinkedIn message — grounded in Common Room signals for a specific company or contact. ## Outreach Process ### Step 1: Look Up the Target Use Common Room MCP tools to find and retrieve data for the target (company and/or specific contact). Pull: - Recent product activity and engagement signals - Community activity (posts, questions, reactions) - 3rd-party intent signals (job postings, news, funding) - Relationship history (prior contact, meetings, email opens) If the user specified a person, run contact-level research. If only a company was given, identify the best contact to target based on title, engagement, and role. ### Step 2: Web Search for External Hooks (If CR Signals Are Thin) If CR returned strong signals (recent activity, engagement, product usage), those should drive personalization — skip web search. If CR signals are thin or the prospect has little CR activity, run a web search for external hooks: **What to search:** - `"[company name]" funding OR acquisition OR launch OR announcement` — last 30 days - `"[contact full name]" "[company name]"` — look for recent articles, interviews, LinkedIn posts, or conference talks **Prioritize external hooks that are:** - Very recent (< 2 weeks) — the prospect is likely still thinking about it - Publicly visible — they know you could have seen it - Change-signaling — growth, new role, new product, new market If the user explicitly asks for web search or external hooks, run it regardless of CR signal richness. ### Step 3: Spark Enrichment (If Available) If Spark is available, run enrichment on the target contact to get persona classification, background, and influence signals. Use this to calibrate tone and message angle. ### Step 4: Identify the Best Hooks From the signal data, identify the 1–3 strongest personalization hooks. Rank by: - **Recency** — happened in the last 7–14 days - **Specificity** — a concrete action they took, not a general trend - **Relevance** — connects directly to a value your product delivers Good hooks: posted a question in the community about X, just hired 5 engineers, recently started using [feature], company just raised Series B, trial nearing expiration, champion just changed jobs. Bad hooks: "I noticed you're a customer" or generic industry trends. ### Step 5: Generate All Three Formats Use the strongest hooks to write all three formats. Each format has different constraints and conventions — follow the format-specific guidelines in `references/outreach-formats-guide.md`. Always produce all three, clearly labeled. When the user's company context is available (see `references/my-company-context.md`), ground the value bridge and pitch in the user's specific product and positioning. ### Step 6: Annotate Your Choices After the three drafts, include a brief note (2–4 sentences) explaining: - Which signals were used and why they were chosen - Any assumptions made (e.g., inferred call objective) - Alternative angles if the primary hook doesn't land ## Output Format ``` ## Outreach for [Name / Company] ### 📧 Email **Subject:** [Subject line] [Email body — 3–5 sentences] --- ### 📞 Call Script **Opening:** [Opening line — conversational, 1–2 sentences] **Value Bridge:** [Why you're calling and why now — 2–3 sentences tied to a signal] **Ask:** [Single, low-friction ask — e.g., 15-minute call, specific question] --- ### 💼 LinkedIn Message [Under 300 characters. Warm, personal, no pitch.] --- ### Signal Notes [2–4 sentences: which signals were used, why, and any alternative angles] ``` ## When Signal Data Is Sparse If Common Room returns minimal data on the target (e.g., just name, title, tags — no activity, no scores, no Spark): - **Do not draft outreach from thin air.** Outreach grounded in fabricated signals is worse than no outreach. - **Run web search first** — this becomes your primary personalization source. Look for recent news, LinkedIn posts, conference talks, company announcements. - **If web search also returns little**, present what you have honestly and ask the user for context: ``` ## Outreach for [Name / Company] — Limited Data **What I found:** [Only the real data from CR and web search] **I don't have enough signal to draft personalized outreach yet.** To write something strong, I'd need: - Recent activity or engagement signals - Context you have from prior conversations - A specific reason for reaching out now Can you share any of the above? ``` ## Quality Standards - Every message must reference something specific — generic outreach is not acceptable output - Match tone to context: warm and conversational for inbound/community signals; more formal for cold/executive outreach - The LinkedIn message must be under 300 characters — no exceptions - The call script must be speakable naturally — read it aloud mentally to check rhythm - **Never fabricate signals** — only reference data retrieved from Common Room or web search ## Reference Files - **`references/outreach-formats-guide.md`** — detailed format rules, examples, and tone guidelines for each channel Weekly Installs208Repository[anthropics/know…-plugins](https://github.com/anthropics/knowledge-work-plugins)GitHub Stars9.9KFirst SeenFeb 24, 2026Security Audits[Gen Agent Trust HubPass](/anthropics/knowledge-work-plugins/compose-outreach/security/agent-trust-hub)[SocketPass](/anthropics/knowledge-work-plugins/compose-outreach/security/socket)[SnykWarn](/anthropics/knowledge-work-plugins/compose-outreach/security/snyk)Installed oncodex194cursor193gemini-cli193opencode193github-copilot192amp192 --- *Source: https://skills.yangsir.net/skill/daily-compose-outreach* *Markdown mirror: https://skills.yangsir.net/api/skill/daily-compose-outreach/markdown*