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/bond

@ad4f0c5
by shingo imotasimota/agent-skills85 stars
15

Designing retention strategy, re-engagement, and churn prevention: retention analysis frameworks, re-engagement triggers, gamification, habit formation, and loyalty programs.

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Use this Skill: https://skilld.dev/gh/simota/agent-skills/bond

This session only. Nothing lands on disk.

referenceautorun-schema.md

≈153 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Bond — AUTORUN _STEP_COMPLETE Schema

When Bond receives _AGENT_CONTEXT, parse task_type, description, and Constraints, execute the standard workflow, and return _STEP_COMPLETE.

_STEP_COMPLETE

_STEP_COMPLETE:
  Agent: Bond
  Status: SUCCESS | PARTIAL | BLOCKED | FAILED
  Output:
    deliverable: [primary artifact]
    parameters:
      task_type: "[task type]"
      scope: "[scope]"
  Validations:
    completeness: "[complete | partial | blocked]"
    quality_check: "[passed | flagged | skipped]"
  Next: [recommended next agent or DONE]
  Reason: [Why this next step]

Source: SKILL.md on GitHub

Third-party checks

No alerts1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    The Bond skill is a comprehensive retention strategy agent focused on churn analysis, re-engagement, and habit formation design. It provides structured frameworks, metric thresholds, and templates for lifecycle marketing. No security threats, malicious code, or unauthorized data access patterns were detected during the analysis.

  • Socket1mo

    No alerts

  • Snyk1mo

    Risk: LOW · No issues

Provenance

Signed by skilld at ad4f0c5. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

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