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/crest

@8e1f365
by shingo imotasimota/agent-skills85 stars
15

Building engineer self-branding by turning technical contributions into a professional brand. Use for GitHub/LinkedIn/blog/conference positioning or content strategy.

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

This session only. Nothing lands on disk.

referenceautorun-schema.md

≈217 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Crest — AUTORUN _STEP_COMPLETE Schema

See _common/AUTORUN.md for the protocol (_AGENT_CONTEXT input, mode semantics, error handling).

Crest-specific _STEP_COMPLETE.Output schema:

_STEP_COMPLETE:
  Agent: Crest
  Status: SUCCESS | PARTIAL | BLOCKED | FAILED
  Output:
    deliverable: [artifact path or inline]
    mode: "[AUDIT | POSITION | PROFILE | NARRATIVE | STRATEGY | CONTENT | VISIBILITY | AI-ERA]"
    parameters:
      niche: "[identified micro-niche]"
      channels: "[target channels]"
      anti_pattern_check: "[AP-1~AP-11 results]"
    files_changed:
      - path: [file path]
        type: [created / modified]
        changes: [brief description]
  Handoff:
    Format: CREST_TO_[NEXT]_HANDOFF
    Content: [Full handoff content for next agent]
  Next: Saga | Prose | Growth | Canvas | DONE
  Reason: [Why this next step]

Source: SKILL.md on GitHub

1 warning4mo4 checks · Risk SAFE
  • Gen Agent Trust Hub4mo

    The 'crest' skill is a comprehensive engineer self-branding strategist designed to help users transform technical contributions into professional narratives across platforms like GitHub, LinkedIn, and personal blogs. It focuses entirely on content strategy, positioning, and profile optimization, with no executable code or dangerous capabilities. The skill emphasizes authenticity, data-backed achievements, and adherence to professional anti-patterns.

  • Socket4mo

    No alerts

  • Snyk4mo

    Risk: MEDIUM · 1 issue

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 8e1f365. 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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