skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from…
Activate for: pipeline, pipeline review, pipeline analysis, pipeline report, forecast, sales forecast, deal review, deal health, at risk deals, stalled deals, pipeline hygiene, win rate, close rate, pipeline by stage, weighted pipeline, coverage ratio, pipeline gap, revenue
Claude Code
$ npx -y skills add panaversity/agentfactory-business-plugins --skill pipeline --agent claude-code
Codex
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a codex -y
Cursor
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a cursor -y
Gemini CLI
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a gemini-cli -y
GitHub Copilot
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a github-copilot -y
OpenCode
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a opencode -y
Windsurf
$ npx skills add panaversity/agentfactory-business-plugins --skill pipeline -a windsurf -y
name: pipeline description: > Activate for: pipeline, pipeline review, pipeline analysis, pipeline report, forecast, sales forecast, deal review, deal health, at risk deals, stalled deals, pipeline hygiene, win rate, close rate, pipeline by stage, weighted pipeline, coverage ratio, pipeline gap, revenue forecast, quarterly forecast. NOT for: lead scoring (use lead-scoring), prospect research (use prospect-research), weekly revenue dashboard (use revenue-reporting-agent), campaign performance (use performance-analysis). context: fork
Pull from CRM via MCP or accept pasted export containing:
DIMENSION 1: Pipeline Health
(e.g. Discovery=20%, Qualification=40%, Proposal=60%, Negotiation=80%). Sum all weighted values. Show the per-deal calculation in the report.
DIMENSION 2: Risk Identification Flag as AT RISK if any of:
Flag as STALLED if:
For each stalled deal: calculate what percentage of the remaining quota gap this deal represents. This quantifies the impact of losing it and determines whether replacement pipeline is needed.
DIMENSION 3: Forecast Accuracy
DIMENSION 4: Source Analysis
SUMMARY Total pipeline: [X] Weighted pipeline: [X] Coverage ratio: [X]x quota Deals in pipeline: [N] across [N] stages
STAGE BREAKDOWN [Stage name]: [N] deals | [X] total | avg [X] | avg [N] days in stage
FORECAST THIS QUARTER Committed (>80% probability): [X] -- [N] deals Likely (50-80%): [X] -- [N] deals Upside (<50%): [X] -- [N] deals Realistic forecast: [X]
AT-RISK DEALS -- IMMEDIATE ACTION REQUIRED [Deal name] | [X] | [Stage] | Last activity: [N] days ago Risk: [Specific reason] | Action: [Specific recommended next step]
STALLED DEALS -- REVIEW OR REMOVE [Deal name] | [X] | Stalled [N] days | Recommend: [action / close lost]
TOP 5 DEALS TO CLOSE THIS QUARTER [Rank] [Deal] | [X] | [Stage] | [Close date] | [Confidence signal] Next action: [Specific]
PIPELINE GAPS [If coverage ratio is below 3x]: Pipeline gap: [X] Source recommendations to fill gap: [Which channels/campaigns are generating the best pipeline per invested]
WINS THIS PERIOD [N] deals closed | [X] total | Win rate: [X]% | Avg cycle: [N] days
KEY METRICS vs. TARGETS [Metric] | [Actual] | [Target] | [vs. Target] ================================================================
with activity signals and stage duration vs. average
recommended action and deadline for that action
loss reasons are the most valuable sales intelligence you have
has the prospect confirmed the timeline directly?
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