instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when…
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.
$ npx -y skills add anthropics/knowledge-work-plugins --skill draft-response --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/draft-responseContext preview
The summary Claude sees to decide when to auto-load this skill.
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.
name: draft-response description: Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue. argument-hint: "<situation description>"
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
Draft a professional, customer-facing response tailored to the situation, customer relationship, and communication context.
/draft-response <context about the customer question, issue, or request>
Examples:
Parse the user's input to determine:
Gather relevant background from available sources:
**~~email:**
**~~chat:**
**~~CRM (if connected):**
**~~support platform (if connected):**
**~~knowledge base:**
Produce a response tailored to the situation:
## Draft Response **To:** [Customer contact name] **Re:** [Subject/topic] **Channel:** [Email / Ticket / Chat] **Tone:** [Empathetic / Professional / Technical / Celebratory / Candid] --- [Draft response text] --- ### Notes for You (internal — do not send) - **Why this approach:** [Rationale for tone and content choices] - **Things to verify:** [Any facts or commitments to confirm before sending] - **Risk factors:** [Anything sensitive about this response] - **Follow-up needed:** [Actions to take after sending] - **Escalation note:** [If this should be reviewed by someone else first]
Before presenting the draft, verify:
After presenting the draft:
---
1. **Lead with empathy**: Acknowledge the customer's situation before jumping to solutions 2. **Be direct**: Get to the point — customers are busy. Bottom-line-up-front. 3. **Be honest**: Never overpromise, never mislead, never hide bad news in jargon 4. **Be specific**: Use concrete details, timelines, and names — avoid vague language 5. **Own it**: Take responsibility when appropriate. "We" not "the system" or "the process" 6. **Close the loop**: Every response should have a clear next step or call to action 7. **Match their energy**: If they're frustrated, be empathetic first. If they're excited, be enthusiastic.
For most customer communications, follow this structure:
1. Acknowledgment / Context (1-2 sentences) - Acknowledge what they said, asked, or are experiencing - Show you understand their situation 2. Core Message (1-3 paragraphs) - Deliver the main information, answer, or update - Be specific and concrete - Include relevant details they need 3. Next Steps (1-3 bullets) - What YOU will do and by when - What THEY need to do (if anything) - When they'll hear from you next 4. Closing (1 sentence) - Warm but professional sign-off - Reinforce you're available if needed
| Situation | Tone | Characteristics | |-----------|------|----------------| | Good news / wins | Celebratory | E
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code.
Repo: anthropics/knowledge-work-plugins
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when…
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or…
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific…
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI,…
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive…
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery,…