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ChewbaccaRoarsChewbaccaRoars/pathfinder-skills/skills/impact-mapper/SKILL.md

impact-mapper

Skill2 starsChanged 8 months agoMITView on GitHub

Quantifies the impact of what the user built — time saved, errors reduced, people helped, ROI. Use before a build to estimate value, or after to measure actual results. Generates impact reports for leadership.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When someone is about to build something, help them estimate the value FIRST.

    line 18
  2. Distinctive:

    When the user says "generate impact report" or "help me show the ROI", create:

    line 105
  3. Distinctive:

    Always use concrete numbers — avoid vague claims like "saves a lot of time"

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Impact Mapper

Overview

"I built a cool thing" doesn't move organizations. "I saved the team 12 hours a week and eliminated manual errors in our reporting pipeline" does. This skill helps users measure, articulate, and present the impact of what they build.

Keywords: impact, ROI, time saved, measure, value, metrics, business case, justify, leadership, outcomes

How It Works

Before a Build — Estimate Impact

When someone is about to build something, help them estimate the value FIRST.

Ask these questions:

  1. "How long does this take manually?" Get a specific number. "About 20 minutes each time."
  2. "How often do you do it?" Daily? Weekly? Monthly? "Every Monday and Thursday."
  3. "How many people are involved?" Just you? A team of 5? "Three of us rotate."
  4. "What goes wrong when it's done manually?" Wrong numbers, missed deadlines, duplicated work. "Sometimes we miss rows and the report is wrong."
  5. "What happens when it goes wrong?" Rework, embarrassment, downstream impact. "We have to resend the report and people lose trust in the data."

Then calculate:

## Estimated Impact: [Name]

**Time per occurrence**: 20 minutes
**Frequency**: 2x per week
**People involved**: 3
**Current time cost**: 20 min x 2/week x 3 people = 2 hours/week

**Annual time cost**: 2 hours x 52 weeks = 104 hours/year
**Error rate**: ~1 in 10 reports has mistakes
**Rework time per error**: 30 minutes
**Annual rework**: 5.2 x 30 min = 2.6 hours/year

**Total annual cost**: ~107 hours/year of human time

**After automation**:
- Time per occurrence: ~30 seconds (just review the output)
- Error rate: near zero (no manual copying)
- Estimated savings: ~100 hours/year

After a Build — Measure Actual Impact

Once the automation has been running, revisit the estimates:

## Actual Impact: [Name]
**Measurement period**: [2 weeks / 1 month / etc.]

| Metric | Estimated | Actual | Notes |
|:-------|:----------|:-------|:------|
| Time per run | 30 seconds | 45 seconds | Need to review output |
| Runs per week | 2 | 2 | As expected |
| Errors | 0 | 0 | No manual errors since launch |
| Time saved/week | 1.9 hours | 1.8 hours | Close to estimate |
| User satisfaction | High | High | Team loves it |

**Annualized savings**: ~94 hours/year
**Hypothesis confirmed**: Yes — automation saves meaningful time and eliminates errors

Impact Categories

Help users think beyond just "time saved":

Efficiency — time and effort

  • Hours saved per week/month/year
  • Steps eliminated from a process
  • Manual handoffs removed

Quality — accuracy and consistency

  • Error rate before vs. after
  • Rework eliminated
  • Consistency of output

Speed — how fast things happen

  • Turnaround time before vs. after
  • How quickly people get what they need
  • Response time improvements

Scale — what's now possible

  • Can now handle 10x the volume
  • Can now serve more teams/regions
  • Removed a bottleneck that limited growth

People — human impact

  • Freed people to do higher-value work
  • Reduced frustration and tedium
  • Enabled people who aren't technical to self-serve

Risk — what could have gone wrong

  • Compliance or audit risk reduced
  • Single point of failure removed
  • Data accuracy improved

Impact Report Generator

When the user says "generate impact report" or "help me show the ROI", create:

## Impact Report: [Name]
**Built by**: [name/team]
**Date launched**: [date]
**Measurement period**: [X weeks/months]

### Executive Summary
[2-3 sentences: what was built, what it does, and the headline impact number]

### The Problem
[What was happening before, in business terms]

### The Solution
[What was built, in plain English — no code, no jargon]

### Measured Impact
[Table of metrics: before, after, improvement]

### Qualitative Feedback
[Quotes or observations from people who use it]

### What's Next
[How this could be expanded, what adjacent opportunities exist]

### Replicability
[Could other teams use this? What would they need?]

Trigger Phrases

  • "What's the impact?"
  • "How much time does this save?"
  • "Help me measure this"
  • "Generate impact report"
  • "What's the ROI?"
  • "Help me justify this"
  • "Show the value"

Rules

  • Always use concrete numbers — avoid vague claims like "saves a lot of time"
  • Help the user gather real data, not just estimates
  • Frame impact in terms leadership cares about: time, money, risk, scale
  • Be honest — if the impact is small, say so and help them find higher-impact opportunities
  • Include qualitative impact too — "the team loves it" matters

Tone Guidelines

  • Business-minded but accessible
  • Confident with data, humble about estimates: "This is our best estimate — we'll refine it with real data"
  • Impact-focused: "Here's why this matters"
  • Encouraging: "Even a small automation that saves 30 minutes a week adds up to 26 hours a year"

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