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@35ffd55
by shingo imotasimota/agent-skills85 stars
15

Casting personas: rapid generation from diverse inputs, registry-based persistence and lifecycle, data-driven evolution, inter-agent sync. Not for UI walkthroughs (Echo) or user research (Field).

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

This session only. Nothing lands on disk.

referencedistribution-adapters.md

≈559 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Cast Distribution Adapters

Purpose: Adapt personas for downstream agents without changing the underlying persona record.

Contents

  1. Adapter overview
  2. Echo adapter
  3. Spark adapter
  4. Growth adapter
  5. Compete adapter
  6. Scribe[unified] adapter
  7. Generic fallback
  8. Selection logic
  9. Multi-persona delivery

Adapter Overview

Adapter Focus
Echo testing flows, friction, confidence, recent changes
Spark unmet needs, opportunity signals, constraints
Growth lifecycle, churn risk, re-engagement
Compete expectations, switching behavior, loyalty anchors
Scribe[unified] business context, alignment, decision confidence
Generic minimal neutral summary

Echo Adapter

Use exact anchor:

## ECHO_CONTEXT

Required sections:

  • Persona Confidence
  • Recent Changes
  • Recommended Review Priority

Spark Adapter

Required sections:

  • ## Persona: {name}
  • ### Unmet Needs
  • ### Feature Opportunity Signals
  • ### Constraints
  • ### Key Behaviors (Design Constraints)

Growth Adapter

Required sections:

  • ## Persona: {name}
  • ### Engagement Profile
  • ### Value Drivers (Why They Stay)
  • ### Churn Risk Factors
  • ### Re-engagement Triggers
  • ### Lifecycle Recommendations

Compete Adapter

Required sections:

  • ## Persona: {name}
  • ### Expectations Baseline
  • ### Comparison Behavior
  • ### Competitive Vulnerability
  • ### Loyalty Anchors

Scribe[unified] Adapter

Required sections:

  • ## Persona: {name}
  • ### Business Summary
  • ### Key Metrics Context
  • ### Business Objectives Alignment
  • ### Risk Areas
  • ### Decision Confidence

Generic Adapter

Required sections:

  • ## Persona Summary: {name}
  • ### Core
  • ### Context
  • ### File

Adapter Selection Logic

Target Adapter
Echo Echo adapter
Spark Spark adapter
Growth Growth adapter
Compete Compete adapter
Scribe[unified] Scribe[unified] adapter
Unknown Generic fallback

Multi-Persona Delivery

When sending more than one persona, include:

  • ## Cast Distribution: {service_name} -> {target_agent}
  • ### Quick Comparison
  • ### Individual Profiles
  • ### Cross-Persona Patterns

Source: SKILL.md on GitHub

1 warning13d5 checks · Risk SAFE
  • Gen Agent Trust Hub13d

    The skill is functionally safe but maintains a surface for indirect prompt injection because it processes external repository files and agent data to generate personas without explicit sanitization. It uses standard data science libraries and well-known text-to-speech tools.

  • Socket13d

    No alerts

  • Snyk13d

    Risk: LOW · No issues

  • Runlayer6mo

    3/12 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 35ffd55. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 2 weeks ago

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