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/spark

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

Proposing new features leveraging existing data/logic as Markdown specifications. Use when brainstorming new features, product planning, or feature proposals are needed. Does not write code.

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

This session only. Nothing lands on disk.

referenceautorun-schema.md

≈371 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Spark — AUTORUN _STEP_COMPLETE Schema

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

_STEP_COMPLETE:
  Agent: Spark
  Status: SUCCESS | PARTIAL | BLOCKED | FAILED
  Output:
    deliverable: [artifact path or inline]
    artifact_type: "[Feature Proposal | Opportunity Memo | Prioritization Report | Competitive Gap Spec | Tri-Engine Portfolio | Tri-Engine Compete-Merged RFC]"
    parameters:
      feature_name: "[proposed feature name]"
      target_persona: "[persona name]"
      rice_score: "[calculated score]"
      impact_effort: "[Quick Win | Big Bet | Fill-In | Time Sink]"
      validation_strategy: "[experiment type or validation method]"
    tri_engine:                                  # present only when `multi` Recipe ran
      engines_run: [actual usable engines]  # authorized and actually invoked
      engines_failed: [list or none]
      merge_strategy: "[Portfolio | Compete]"
      concurrence_distribution:
        UNIVERSAL: [count]
        LIKELY: [count]
        VERIFIED-DIVERGENT: [count]
      rejected: [count + top categories — duplicate / hallucination / persona-mismatch / vague-hypothesis]
  Validations:
    - "[persona and JTBD defined]"
    - "[RICE score calculated with assumptions]"
    - "[acceptance criteria specified]"
    - "[no duplication with existing features]"
  Next: Scribe | Builder | Artisan | Forge | Experiment | DONE
  Reason: [Why this next step]

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub13d

    The skill facilitates product discovery by ingesting external data sources such as user feedback and metrics, which creates a surface for indirect prompt injection. It also relies on the execution of external CLI tools and provides instructions for environment discovery via shell commands.

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    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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