Qualify

## Command

170 stars

Best use case

Qualify is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

## Command

Teams using Qualify should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/qualify/SKILL.md --create-dirs "https://raw.githubusercontent.com/Miosa-osa/canopy/main/operations/sales-engine/skills/qualify/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/qualify/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Qualify Compares

Feature / AgentQualifyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

## Command

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Qualify

## Command
/qualify <deal_name>

## Purpose
Run MEDDPICC scoring on a deal with gap analysis and prescribed next actions.

## Arguments
| Arg | Type | Required | Description |
|-----|------|----------|-------------|
| deal_name | string | Yes | Name of the deal to qualify |

## Output
Genre: scorecard
Format: Markdown (MEDDPICC Scorecard template)

Produces:
1. **MEDDPICC Scorecard** -- 0-3 score per letter with evidence and gaps
2. **Overall Score** -- percentage with strong/moderate/weak assessment
3. **Critical Gap** -- the #1 gap that will kill the deal if unaddressed
4. **Prescribed Actions** -- ordered list of actions to improve qualification
5. **Stage Recommendation** -- should this deal advance, hold, or retreat?

## Agent Activation
- **closer** (wave 1): MEDDPICC scoring and gap analysis

## Process
```
1. Pull deal context: all known information, meeting notes, prospect data
2. Score each MEDDPICC letter 0-3:
   0 = Unknown (no data)
   1 = Identified (mentioned but unverified)
   2 = Validated (confirmed in conversation)
   3 = Confirmed with evidence (documented, multi-sourced)
3. Calculate overall percentage: (sum / 24) * 100
4. Identify weakest letter as critical gap
5. Generate prescribed actions targeting the top 2-3 gaps
6. Recommend stage action: advance (>= 60%), hold (40-59%), retreat (< 40%)
```

## Examples
```
/qualify "Acme Corp Enterprise Deal"
/qualify "Stripe Platform Integration"
```