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by shingo imotasimota/agent-skills85 stars
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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.

referenceprioritization-frameworks.md

≈351 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Spark Prioritization Delta

Purpose: Evidence and ambition-preservation rules for Spark proposals. Impact-effort and RICE mechanics are model-known.

RICE Contract

RICE = Reach × Impact × Confidence / Effort
  • Reach uses the affected segment and one consistent time period.
  • Impact uses an agreed metric and anchored scale; do not make every proposal “high.”
  • Confidence is backed by analytics, experiments, research, or comparable launches. Unvalidated ideas remain explicitly low-confidence.
  • Effort includes design, implementation, testing, release, documentation, and likely maintenance; report a range rather than a universal buffer.
  • Compare like with like. Infrastructure, compliance, and strategic options need separate lanes when direct user reach understates their value.

Ambition Guard

Tag proposals H1 incremental, H2 adjacent, or H3 transformative. Rank within a horizon before comparing across horizons. Do not let RICE's confidence term silently remove all novel options; a slate with no H2/H3 alternative must state that conservatism explicitly.

Required Output

For each proposal provide inputs, units, evidence, calculation, sensitivity range, horizon, limitations, and the decision that the score informs. Scores support judgment; they do not replace it. Route strategic portfolio tradeoffs to Magi/Magi and tech-debt architecture to Atlas.

Source: SKILL.md on GitHub

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    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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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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