pipeline-review
Skill21 starsChanged 4 months agoMITView on GitHub
Audits pipeline health from a deal list (CSV, table or plain notes) — prioritises deals, flags zombies and single-threaded risks, checks close-date realism and outputs a weekly action plan. Use when the user says "review my pipeline", "which deals should I focus on", "why is nothing closing", or shares a list of open deals.
13 other projects use a version of this.
Adopted by
Most recently taken up by
- johnrtipton/pipeline-skillstheir own version, first seen Nov 1, 2026
- zime-ai/zime-gtm-skillstheir own version, first seen Nov 1, 2026
- prosyo-ai/gtm-skilltheir own version, first seen Oct 25, 2026
- RayZYunYan/ClarityStacktheir own version, first seen Oct 24, 2026
- anthropics/knowledge-work-pluginstheir own version, first seen Oct 13, 2026
- akachandan1/proofstacktheir own version, first seen Oct 11, 2026
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 13
- anthropics/knowledge-work-plugins★ 35ksame name
- zime-ai/zime-gtm-skills★ 19same name
- prosyo-ai/gtm-skill★ 13same name
- NotHarshhaa/devops-skills★ 8same name
- akshaypimprikar/pragma★ 4same name
- johnrtipton/pipeline-skills★ 4same name
- saberapp/skills★ 4same name
- automatewithuday/gtm-prospecting-system★ 1same name
- sidchaudhary/gtm-skills★ 1same name
- akachandan1/proofstack★ 0same name
3 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 13 edited versions we read keep these.
1
Distinctive
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
- Distinctive: line 21
Apply the health checks: no dated next step = zombie.
“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Pipeline Review — Pipeline Doctor
"Pipeline truth over pipeline comfort."
When to use
- "Review my pipeline" (paste/attach deals: name, value, stage, last contact, next step)
- "What should I focus on this week?"
- "My forecast feels fake"
- Weekly ritual; also before any forecast conversation
- Works from a CSV, a markdown table, or messy notes — it will structure them first
Workflow
- Normalise the data into: deal, value, stage, last meaningful contact, next step (dated?), single or multi-threaded.
- Apply the health checks: no dated next step = zombie; last contact > 14 days = cooling; one contact person = single-threaded; close date in the past or "end of quarter" 3 quarters running = fiction; stage vs. evidence mismatch (e.g. "negotiation" but no proposal sent).
- Score priorities: value × probability × momentum. Big-but-dead loses to small-but-moving.
- Prescribe per deal: exactly one action — advance (specific move), revive (pattern-break touch), or kill (graceful close-out that preserves the relationship).
- Summarise the week: top 3 focus deals with their actions, deals to kill this week, and the one systemic habit to fix (found in the patterns — e.g. "you never set next steps on first calls").
- Forecast sanity line: weighted realistic total vs. optimistic total, in one sentence.
Output format
## Pipeline review — {date} · {n} deals · realistic: {€X} (optimistic: {€Y})
| Deal | Value | Health | Diagnosis | THE action this week |
|------|-------|--------|-----------|----------------------|
| ... | ... | 🟢🟡🔴 | ... | ... |
**Focus 3**: 1. {deal} → {action} 2. ... 3. ...
**Kill list**: {deals} — with the close-out line to send
**Systemic fix**: {the one habit}Quality bar
- Every deal gets exactly one action, none gets "keep monitoring"
- Zombies named and killed out loud, with a graceful exit message
- Single-threaded deals flagged with a second-contact suggestion
- Realistic vs. optimistic totals both stated
- The systemic fix targets a pattern, not a deal
Example
Ask: "12 deals pasted from my notes, which 3 matter?" Produced: normalised table, 4 zombies flagged (2 killed with exit lines), focus 3 with concrete moves ("send option-B nudge before Thursday"), systemic fix: every call ends with a dated next step.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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