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prioritization

Use for prioritization, or when there are more tasks than capacity: "what should we do first?", "rank this backlog", "cut scope for the MVP", "RICE score these". Picks a method (RICE, ICE, MoSCoW, impact-effort), scores items and sets a cut line. Skip for choosing between two designs.

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  • SKILL.md3.6 KB
  • references/example.md1.6 KB

SKILL.md(原文)

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Prioritization

Order a list of work by value and cost, and draw a cut line. Pick the lightest method that fits the situation; precision beyond the quality of your inputs is noise.

When to use

  • A backlog, roadmap, bug list, feature list or task list larger than capacity.
  • "What first?", "what can we cut?", "MVP scope", "RICE / ICE / MoSCoW".
  • A stakeholder disagreement about order that needs a transparent method.

Skip: choosing between two or three alternative designs or vendors on tradeoffs, or estimating a single number.

Before you start

  1. State in one block: Goal the ranking serves, Capacity or deadline, Items (count), and Pass (Pick method, Score, Rank, Cut line, Sanity check).
  2. Gather first. Read the backlog, tickets, usage data, customer requests and past estimates. Never invent reach or effort numbers; mark guesses [ESTIMATED] and give a range. Ask up to 3 questions only for goals and capacity tools cannot answer.
  3. Light path. Small ask: pick a method in one line, score in one table, name the top 3 and the cut line.

Steps

1. Pick the method

SituationMethod
Many items, some data on users and effortRICE
Many items, quick gut-level estimatesICE
Fixed deadline or MVP, need to cut scopeMoSCoW
Few items, fast triage in a meetingImpact-effort 2x2
Personal or team task triageEisenhower (urgent x important)

State the choice and why in one line.

2. Score

  • RICE = Reach x Impact x Confidence / Effort. Reach: people or events per period. Impact: 0.25 minimal, 0.5 low, 1 medium, 2 high, 3 massive. Confidence: 100%, 80% or 50%. Effort: person-months.
  • ICE = Impact x Confidence x Ease, each 1-10.
  • MoSCoW: Must, Should, Could, Won't (this time). Keep Musts to roughly 60% of capacity so there is room for surprises.
  • Impact-effort: place each item in quick wins (high impact, low effort), big bets, fill-ins or avoid.

Show the table with one-line basis for each score.

3. Rank

Sort by score. Break ties by dependencies (what unblocks others), risk reduction, and cost of delay.

4. Cut line

Mark where capacity runs out. Name what is deliberately not done.

5. Sanity check

Compare the top of the list with your intuition. If they disagree, find the input that drives the difference and decide whether the score or the intuition is wrong.

Pitfalls

  • False precision: scores of 41.2 vs 39.8 are a tie.
  • Everything is a Must. If Musts exceed capacity, the method has not helped yet; force a cut.
  • Scoring effort in the author's own optimistic hours. Ask the people who will do the work.
  • Ignoring dependencies: the highest score may need a lower item first.
  • Gaming: the scorer favors a pet item. Have someone else check the top 3 inputs.
  • Hiding that the ranking serves a goal. State the goal; a different goal changes the order.

Worked example: references/example.md.

Checklist

  • Goal, capacity and item count stated
  • Method chosen with a reason
  • Every score has a basis; guesses marked [ESTIMATED]
  • Ties broken by dependencies, risk and cost of delay
  • Cut line drawn; not-doing list named
  • Sanity check done

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同一仓库的技能

Use for analytical thinking, or when a question needs breaking down and evidence: "why did metric X drop?", "what drives this?", "break this down", "what data do we need?". Builds a tree, hypotheses and evidence, ends with an answer and key uncertainty. Skip for quick verdicts.

中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

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中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

Use for critical thinking, or when the user wants a claim, plan or decision checked for weak spots: "is this right?", "what am I missing?", "poke holes", "sanity check", "devil's advocate", "red team this". Skip for execution-only tasks and wording edits.

中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

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中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

Use for ethical thinking, or when a plan could harm or unfairly burden people: "should we do this?", "is this fair?", "privacy or bias risk", "who gets hurt?". Maps stakeholders, harms, power and consent. Skip for legal advice, neutral fact lookups and implementation-only work.

中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

Use for Fermi estimation, or when a rough number is needed fast: "roughly how many...", "ballpark the cost", "estimate capacity or market size", "is this even feasible?". Decomposes, uses ranges and sanity-checks. Skip when exact data is available or a precise calculation is wanted.

中文简介正在准备中。当前显示原文说明。

ysskrishna/ai-agent-skills172026年10月17日 更新

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