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Found 10,357 Skills
Use this skill for Vue apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Guide users through defining their pricing strategy for an AI product or SaaS. Covers billing model selection (usage-based, subscription, hybrid), subscription tier pricing, credit/overage costs, real-time vs invoice billing trade-offs, existing PSP integration, custom currency vs fiat, and pricing dimensions. Ends with a personalised pricing strategy summary, MRR projection, visual output (HTML or PDF), and tool recommendations. Use when a user wants to define their pricing, figure out how to charge for their AI product, decide between billing models, understand the real-time vs invoice billing trade-off, or evaluate what tools to use for monetisation.
Implement the Syncfusion Angular DropDownList component for single-value selection from a predefined list. Use this when users need a dropdown selector, searchable dropdown, or cascading dropdowns in Angular. This skill covers data binding, filtering, templates, grouping, virtualization, and form integration using @syncfusion/ej2-angular-dropdowns.
Guide for implementing Syncfusion SfListView control in Windows Forms for creating list-based UIs with data binding, grouping, sorting, filtering, and selection capabilities. Use when building applications with item collections, Explorer views, contact lists, or product catalogs with sortable/filterable lists. Covers data binding, checkbox lists, grouped lists, filtered lists, and rich data display for list interfaces.
Autonomously optimize an existing AI skill by running it repeatedly against binary evals, mutating one instruction at a time, and keeping only changes that improve pass rate. Based on Karpathy-style autoresearch, but applied to SKILL.md iteration instead of ML training. Use when optimizing a skill, benchmarking prompt quality, building evals for a skill, or running self-improvement loops on reusable agent instructions. Triggers on: skill-autoresearch, optimize this skill, improve this skill, benchmark this skill, eval my skill, run autoresearch on this skill, self-improve skill.
Vida's thinking framework and expression style. Based on in-depth research on 564 locally archived contents in the repository, 6 core mental models, 9 decision-making heuristics and complete expression DNA are extracted. Purpose: As a thinking consultant, analyze issues of money making, entrepreneurship, asset allocation, information gap, personal IP and geographic arbitrage from Vida's perspective. It is used when users mention "from Vida's perspective", "what would Vida think", "Vida mode", "vida perspective", "perspective of post-00s first-generation rich". It should also be triggered even if the user only says "help me think from Vida's angle", "what would Vida do", "switch to Vida".
(heropy) Use when analyzing web page performance, accessibility, best practices, or SEO using Google Lighthouse. Runs LHCI CLI locally, parses results, and suggests improvements with optional code fixes.
JWT and OAuth token attack playbook. Use when validating token trust, signing algorithms, key handling, claim abuse, bearer flows, and OAuth account-binding weaknesses.
Analyze and mitigate the bullwhip effect where demand variability amplifies upstream in supply chains. Use this skill when the user needs to diagnose order variability amplification, quantify the bullwhip ratio, or implement dampening strategies — even if they say 'why are our orders so volatile', 'supply chain variability', or 'demand amplification problem'.
The meta-framework for how a company runs -- the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse design, issue resolution (IDS), 90-day rocks, and communication cadence. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, quarterly planning, or meeting cadence.
OpenTelemetry with Grafana stack. Covers OTel SDK instrumentation for Go/Java/Python/Node.js/.NET, OTLP protocol and endpoint configuration, sending telemetry to Grafana Cloud via OTLP endpoint, Grafana Alloy as OTel collector, sampling strategies, Kubernetes OTel Operator, and migration from other observability tools. Use when instrumenting apps with OTel, configuring OTLP endpoints, setting up collectors, or migrating to OpenTelemetry.
Scan code changes for security vulnerabilities using STRIDE threat modeling, validate findings for exploitability, and output structured results for downstream patch generation. Supports PR review, scheduled scans, and full repository audits.