self-improving-salesCaptures pipeline leaks, objection patterns, pricing errors, forecast misses, competitor shifts, and deal velocity drops to enable continuous sales improvement. Use when: (1) A deal slips past stage thresholds, (2) An objection recurs across multiple deals, (3) A pricing mistake is discovered, (4) Forecast accuracy falls below target, (5) A deal is lost to a competitor, (6) Discount escalations exceed policy, (7) A win/loss pattern emerges.
Install via ClawdBot CLI:
clawdbot install jose-compu/self-improving-salesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/jose-compu/self-improving-sales.gitAudited Apr 17, 2026 · audit v1.0
Generated Oct 7, 2026
A mid-market SaaS account has been stuck in Stage 3 (Proposal) for 45 days with no movement. The rep logs it to DEAL_ISSUES.md as a pipeline_leak, identifies the missing economic buyer, and discovers a recurring qualification gap that gets promoted to the MEDDIC framework.
Three enterprise deals in one quarter lost to the same pricing objection. The rep logs the objection_pattern with anonymized deal sizes, links the entries via See Also, and promotes the insight to an objection handling script with an ROI reframe.
A VP of Sales discovers the team missed forecast by 25% due to late-stage slippage and unchampioned deals. The team logs the forecast_miss, analyzes win/loss patterns, and updates deal review templates to require champion identification by Stage 3.
A competitor's new free tier causes three deals to stall in negotiation. The rep logs a competitor_shift entry and promotes the intel into a battle card that counters with migration cost and TCO arguments.
A rep requests a 30% discount, exceeding the 15% policy limit, triggering a pricing_error log. The pricing pattern gets promoted to a pricing playbook requiring VP approval and multi-year commitment for discounts over 15%.
Subscription-based software businesses where sales cycles involve repeated objections, stage-gated pipelines, and forecast accuracy matters quarterly. The skill captures deal velocity drops and objection patterns to continuously refine qualification frameworks like MEDDIC/BANT.
Long-cycle, high-ticket sales organizations with multi-stakeholder buying committees where pipeline leaks and competitor shifts directly impact revenue. The skill logs lost deals and pricing errors to build battle cards and objection handling scripts.
Firms that coach sales teams on deal execution, forecasting, and competitive positioning. The skill serves as a structured learning repository to codify client patterns into playbooks, templates, and qualification framework improvements.
💬 Integration Tip
Drop the .learnings/ directory into your workspace root and reference it from AGENTS.md or CLAUDE.md so agents auto-log pipeline leaks and objections without extra prompts. Use the optional OpenClaw hook for session-start reminders that prompt reps to capture learnings.
Scored Oct 7, 2026
Automation skill for DELLIGHT CRO Revenue Operations.
Partnership outreach, market research, competitor analysis, and proposal generation. Transform your AI agent into a strategic business development partner that identifies and cultivates growth opportunities.
CRM integration, lead tracking, outreach automation, and pipeline management. Transform your AI agent into a sales assistant that never lets leads slip through the cracks.
Free cold outreach templates — 5 proven email formulas for B2B outreach. Generate personalized openers, follow-ups, and value props. Upgrade to Pro for autom...
使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lo...
ActiveCampaign CRM integration for lead management, deal tracking, and email automation. Use for syncing demo leads, managing clinic sales pipeline, and triggering follow-up sequences.