louisblythe/salesskills
12 skills2.3k installs1.3k starsGitHub
Install
npx skills add https://github.com/louisblythe/salesskillsSkills in this repo
1Negotiationnegotiation is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.219installs2Pipeline ManagementPipeline Management is a sales methodology skill for indie founders and solo sellers who must wear the AE hat without a RevOps team. It walks an agent through assessing current CRM reality, cycle length, stage bottlenecks, and forecasting errors, then applies principles like motion-as-health, disqualifying bloat, and enforcing next steps on every opportunity. Triggers align with managing pipeline, deal tracking, forecasting, pipeline health, deal stages, and opportunity management language. The output is guidance and review structure—not automated CRM sync—so it pairs well with weekly planning rituals and grow-phase revenue goals. Use it when pipeline coverage looks fine on paper but closes slip, or when you need an accountable conversation template before quarter-end. Advanced sellers may still benefit as a checklist when an agent keeps you honest about stage definitions and stale opportunities.213installs3Competitive Intelligence Gatheringcompetitive-intelligence-gathering helps developers build sales bots that extract competitive intelligence from prospect conversations in real time. It defines four intel categories—pricing, features, positioning, and sales approach—with regex extraction examples, an IntelExtractor pipeline, LLM-enhanced parsing, deduplicated storage in a CompetitiveIntelDB, aggregation by competitor, alerting rules for pricing and feature mentions, weekly report generation, and battlecard auto-update queues with verification. Developers reach for it when building or improving bots that capture market insights competitors won't publish.190installs4Ab Message Testingab-message-testing is a skill in louisblythe/Sales-Skills, a 122-skill collection (20 core sales, 22 process, 80 AI SDR bot skills). It guides building automated message-variation tests for sales bots: hypothesis documentation, 50/50 or multi-variant allocation, MD5-consistent variant assignment per contact, result tracking, and z-score significance checks at 95% confidence. Covers opening greetings, qualification question order, objection responses, tone, length, and CTA phrasing. Includes sample-size reference tables—for example 10% baseline needs 3,500 impressions per variant for a 20% lift—and test lifecycle from hypothesis through implementation. Triggers on message testing, A/B testing bots, or message optimization requests. Use when engineering conversational bots that need data-driven copy iteration, not one-off email drafts.189installs5Conversation Ab Testingconversation-ab-testing is one of 80 AI SDR skills in louisblythe/salesskills that helps developers test individual message variants instead of whole sequences. The skill documents subject line, opening line, CTA, and tone experiments with metrics like open rate, reply rate, and meeting conversion. It includes Python patterns for MessageABTest classes, traffic splits, scipy significance tests, Thompson Sampling bandits, and test lifecycle management from hypothesis through winner deployment. Sample sizes start around 50-100 per variant for subject tests. Install via npx add-skill louisblythe/salesskills --skill conversation-ab-testing or the sales-skills Claude plugin. Use conversation-ab-testing when a sales bot needs faster optimization loops than sequence-level experiments allow.189installs6Territory Account Launchterritory-account-launch is a louisblythe/salesskills agent skill for planning territory launches, account expansion, and sales campaign kickoffs. It activates on phrases like "territory planning," "account launch," "sales campaign," "market entry," "expansion strategy," or "pipeline generation campaign." The skill provides a four-phase territory launch framework spanning research and planning (weeks 1–2), foundation building (weeks 3–4), active outreach (weeks 5–12), and ongoing pipeline acceleration. It covers tiered account approaches—Tier 1 ABM for top 10–20 accounts, Tier 2 personalized sequences for 50–100 accounts, and Tier 3 templated outreach—plus a 30-day account blitz model with 50+ daily dials and multi-threading stakeholder maps. Expansion playbooks address land-and-expand, cross-sell, upsell, and multi-location rollouts, while competitive displacement sections cover renewal timing and migration planning. Reach for territory-account-launch when structuring a focused sales initiative rather than writing one-off cold emails.189installs7Conversation Pause Intelligenceconversation-pause-intelligence is an AI SDR skill from louisblythe/salesskills for coding pause interpretation in outbound bots. It maps positive, negative, and neutral reasons prospects go quiet, then applies engagement score decay with email opens, clicks, and website visits adjusting scores over days. Channel guides cover SMS thresholds from 2 hours to 14 days and email thresholds from 48 hours to 14+ days. Python assess_pause logic returns interpretations like likely_thinking, likely_disengaged, or concern based on stage and engagement. Follow-up ladders include value-add, status check, direct ask, breakup, and reactivation messages. Use conversation-pause-intelligence when bots must avoid both premature nagging and silent deal loss.188installs8Drip Pacing Intelligencedrip-pacing-intelligence is an AI SDR skill from louisblythe/salesskills for building smart sequence timing instead of fixed Day 1-3-7-14 schedules. Engagement scores from 0-100 reward opens, clicks, visits, downloads, and replies while penalizing ignores and spam complaints. Python calculate_next_touch applies multipliers from 0.5x for hot leads to 2.5x slowdown for cold ones. Event triggers fire within hours on pricing page visits or demo video completion. Multi-channel rules enforce minimum 48h between emails and coordinate SMS, LinkedIn, and phone without same-day pile-ons. JSON state tracks pacing_status, next_touch_at, and pacing_history per prospect. Use drip-pacing-intelligence when static cadences cool hot leads or annoy cold ones.188installs9Multi Stakeholder Thread Managementmulti-stakeholder-thread-management is an AI SDR skill from louisblythe/salesskills for deals with 6-10 decision participants cited in the guide. Python StakeholderMap and StakeholderConversation classes classify roles as economic_buyer, decision_maker, influencer, or user from titles and track per-person objections, questions, and sentiment. Cross-stakeholder views surface unresolved objections and negative sentiment risks. Role-appropriate messaging adapts ROI summaries for executives versus workflow detail for users. Consensus functions score champions, skeptics, and blockers with weighted alignment recommendations. Coordinated campaigns schedule pre-demo and post-demo touches by role timing. Use multi-stakeholder-thread-management when single-threaded bot logic misses committee dynamics.188installs10Prospect Fatigue Detectionprospect-fatigue-detection is an AI SDR skill from louisblythe/salesskills that combats aggressive Day 1-10 pile-on sequences. calculate_fatigue_score returns 0-100 from touch frequency, engagement decay, non-response streaks, and explicit unsubscribe or negative language. Actions map to reduce_frequency at 30+, pause_sequence at 50+, and stop_all_outreach at 70+. Channel limits cap email at 3 per week, SMS at 2, and phone at 2 attempts with minimum spacing. BACKOFF_RULES extend intervals, pause 14 days, or move prospects to long-term nurture with human review. Unified scores aggregate fatigue across email, SMS, phone, and LinkedIn. Use prospect-fatigue-detection before opt-outs and spam complaints erode domain reputation.188installs11Warm Transfer Executionwarm-transfer-execution is an AI SDR skill from louisblythe/salesskills contrasting cold transfers that force prospects to repeat themselves with warm handoffs where reps see needs, objections, and qualification data upfront. Transfer triggers cover high-value opportunities, capability limits, frustration rescue, and explicit human requests. JSON context packages include prospect info, conversation summary, qualification fields, sentiment, recommended approach, and transcript links. Flow steps prepare the prospect, check rep availability, execute transfer with a push alert, and confirm pickup with a contextual opener. Handles live, queued, async after-hours, and failed transfer recovery paths. Use warm-transfer-execution when bot-to-rep transitions must preserve momentum on enterprise deals.188installs12Persona Classificationpersona-classification is an AI SDR skill from louisblythe/salesskills based on DISC and a simplified analytical-driver-relationship model. Regex PERSONA_INDICATORS score message patterns like requests for data, impatience cues, and team mentions. Python PersonaClassifier accumulates signals across messages and adapts once confidence reaches 0.3 after at least 3 messages. adapt_message_for_persona adjusts tone, detail level, CTAs, and pacing—faster replies for drivers, thorough data for analytical buyers, collaborative social proof for relationship types. Response templates differ greetings, value props, and objection handling per persona. Use persona-classification when one-size outbound copy underperforms across buyer styles.187installs