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Found 378 Skills
Use for decision-grade Abel causal reads: explain what is driving a market or company node, how two nodes connect, what changes under intervention, or how a real-world choice looks when routed through Abel proxy signals. Use when user says "Abel" or "causal" or "causality" or "drivers" or "what if" in the context of market, business, crypto, or proxy-routed questions.
20 "In Market" Bridgebound triggers from Flip The Script - Adjacent Vendors, Competitors, and Time-Based signals. Use when targeting active buyers, building competitive displacement campaigns, or leveraging seasonal/event timing.
SolidJS and SolidStart performance and correctness guidelines for AI agents. This skill should be used when writing, reviewing, or refactoring SolidJS/SolidStart code to ensure correct reactivity patterns and optimal performance. Triggers on tasks involving SolidJS components, signals, stores, Solid Query, SolidStart server functions, routing, or fine-grained reactivity.
Audit and consolidate documentation for healthcare engineering systems. Supports two modes — analyze (coverage audit — writes only .health-docs/analysis.md) and document (consolidate existing docs + fill gaps). Detects applicable regulatory regimes (HIPAA, ONC, FDA SaMD) from codebase signals, composes existing skills as subagents for deep-dimension analysis, and produces a structured handoff artifact consumed by document mode.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Use when the user asks about finding people, managing their network, creating signals/intents, discovering opportunities, or anything related to Index Network. Always active when the Index Network plugin is loaded.
OSINT-based technology stack identification. Discovers company tech stacks using passive reconnaissance across 17 intelligence domains. Given a company name (and optional domain hint), infers frontend, backend, infrastructure, and security technologies using publicly available signals.
Analyze articles for AI-generated content indicators and rewrite to pass WeChat's 3.27 non-human automated content creation detection. Checks for template phrases, transition word density, sentence uniformity, paragraph pattern repetition, and other signals that WeChat uses to flag AI content. Outputs a risk report and an optional humanized rewrite. Use when the user wants to check if an article looks AI-generated, make an article more human-like, bypass WeChat AI detection, or humanize AI-written content. Also trigger when the user mentions "去AI痕迹", "人性化润色", "微信AI检测", "anti-ai-check", "humanize article", "公众号发文检查".
pytest-django integration testing specialist. Covers all fixtures (db, transactional_db, client, rf, settings, mailoutbox, django_user_model), @pytest.mark.django_db options, DRF APIClient, factory_boy integration, async views, signals, management commands, and multi-database testing. USE WHEN: user mentions "pytest-django", "django test", "@pytest.mark.django_db", asks about "django client fixture", "DRF APIClient", "django signals test", "management command test", "django async view test". DO NOT USE FOR: Non-Django Python tests - use `pytest` or `python-integration`; FastAPI - use `fastapi-testing`; Pure container setup - use `testcontainers-python`
Activate this when users need to understand extreme events (bubbles, crashes, mass hysteria, cults, mob behavior), diagnose systemic organizational failures, or assess the risk of multiple psychological/market/institutional forces aligning in the same direction. Typical trigger signals: the phenomenon described by the user "far exceeds what any single factor can explain"; the user attempts to explain an extreme outcome with a single cause; the user is concerned about "multiple adverse factors erupting simultaneously". Not applicable to conventional single-factor decision analysis or assessment of mild incremental changes.
Momentum platform help — AI revenue orchestration with automated CRM updates, Slack Deal Rooms, MEDDIC Autopilot, AI coaching, churn signals, and executive briefs. Use when Salesforce fields never get updated after calls, deal rooms in Slack are noisy or disorganized, MEDDIC tracking is inconsistent across reps, post-call action items aren't making it into the CRM, you need churn risk signals from customer conversations, or AI coaching scores don't match what you see on calls. Do NOT use for building outbound sequences (use /sales-cadence) or picking an AI note-taker (use /sales-note-taker).
People.ai (now Backstory) platform help — automatic activity capture, deal intelligence, pipeline health, revenue forecasting, MCP integration, Salesforce/Dynamics/Oracle CRM sync. Use when reps aren't logging activities and CRM data is stale, deals are slipping without warning and you need early risk signals, forecast accuracy is poor because it's based on gut not data, evaluating People.ai vs Gong vs Clari vs Revenue.io for revenue intelligence, activity data isn't tying back to pipeline or revenue outcomes, or you want to connect People.ai to AI agents via MCP. Do NOT use for conversation intelligence with call recording and transcription (use /sales-gong or /sales-note-taker), building outbound sequences (use /sales-cadence), or general CRM data cleanup strategy (use /sales-data-hygiene).