outreach-sequence-crafter

Build respectful multi-touch outreach sequences with channel mix, follow-up timing, objection handling, and logging templates.

Purpose

Build respectful multi-touch outreach sequences with channel mix, follow-up timing, objection handling, and logging templates.

Trigger phrases

• 写邀约话术
• build an outreach sequence
• 私域触达节奏
• cold outreach cadence
• 招商邀约流程

Ask for these inputs

• offer
• target persona
• channels
• timeline
• proof assets
• dos and don'ts

Workflow

1. Clarify the offer, audience, and desired action.
2. Select a cadence preset from the resources file.
3. Draft first touch, follow-up, breakup, and reply branches.
4. Generate a lightweight tracking table with status codes.
5. Keep claims verifiable and avoid spammy patterns.

Output contract

• multi-touch sequence
• reply branches
• tracking sheet
• testing plan

Files in this skill

• Script: {baseDir}/scripts/sequence_builder.py
• Resource: {baseDir}/resources/cadence_presets.yaml

Operating rules

• Be concrete and action-oriented.
• Prefer preview / draft / simulation mode before destructive changes.
• If information is missing, ask only for the minimum needed to proceed.
• Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
• Keep assumptions explicit.

Suggested prompts

• 写邀约话术
• build an outreach sequence
• 私域触达节奏

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

• This skill supports planning, structuring, and first-pass artifacts.
• It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

• Directory-based AgentSkills/OpenClaw skill.
• Runtime dependency declared through metadata.openclaw.requires.
• Helper script is local and auditable: scripts/sequence_builder.py.
• Bundled resource is local and referenced by the instructions: resources/cadence_presets.yaml.