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Found 2,054 Skills
Apply Bourdieu's field theory to analyze power relations through the interplay of field, capital, and habitus. Use this skill when the user needs to map positions and position-takings within a social field, analyze how different forms of capital (economic, cultural, social, symbolic) structure competition, explain why actors behave as they do within institutional settings, or when they ask 'why do people in this industry act this way', 'who has power and why', or 'how does this field reproduce inequality'.
Review experimental results, plots, tables, and figures before they are shown in a meeting, paper, report, or presentation. Use this skill whenever the user wants to present results, check a figure, interpret experiment plots, prepare result slides, validate captions, audit axes/legends/error bars, or make sure results are connected to hypotheses and experimental setup.
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Run queries against Omni Analytics' semantic layer using the Omni CLI, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many", "what's the trend", "show me the data", retrieve dashboard query results, or perform any data retrieval through Omni's query engine. Also use when someone wants to programmatically extract data from an existing Omni dashboard or workbook.
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "golden cross", "death cross", "technical analysis".
Convert files between 140+ formats using the ConversionTools MCP server. Use when the user needs to convert documents (Word, PDF, Excel, PowerPoint), data formats (JSON, CSV, XML, YAML, Parquet), images (PNG, JPG, WebP, AVIF, HEIC, JXL, SVG), audio (MP3, WAV, FLAC), video (MOV, MKV, AVI to MP4), e-books (EPUB, MOBI, AZW), OCR text extraction, AI-powered data extraction, AI text-to-speech (TTS), AI speech-to-text transcription (STT), subtitle conversion (SRT, VTT, ASS), or website screenshots.
Use when designing, implementing, or reviewing an embedded accounting engine inside a SaaS, ERP, POS, inventory, payroll, school, clinic, NGO, marketplace, or mobile-money-heavy system. Covers one append-only general ledger, one LedgerPostingService write path, mapping-layer account resolution, IFRS/IFRS for SMEs defaults, subledger tagging, idempotent posting, reversing journals, period locks, audit trails, report projections, and accounting integrity tests.
Route Unity and Unreal frame-time complaints into one bottleneck-first profiling brief. Use when the main job is interpreting profiler screenshots, `stat unit` / `stat gpu` output, benchmark-route complaints, or Steam Deck / target-device review packets; choosing the smallest useful next capture; naming one primary bottleneck family; and deciding whether to stay with quick packets, move to an engine-native profiler, or escalate further. Route generic app/service tuning to `performance-optimization`, build/editor/package failures to `game-build-log-triage`, broader game-production coordination to `bmad-gds`, and mixed demo/community feedback to `game-demo-feedback-triage`.
Enterprise AI adoption platform for Claude Code — measures team usage via OpenTelemetry, syncs skills/MCP servers/hooks from a central dashboard, and delivers context-aware skill suggestions at prompt time. Solves the Intention-Action Gap: organizations that deploy Zeude see 3x adoption improvement (6% → 18%). Requires Supabase (config) and ClickHouse (analytics). Triggers on: zeude, ai adoption, claude code adoption, enterprise claude, opentelemetry claude, skill sync, team claude management.
Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.
Guides product infrastructure security—securing the runtime, data plane, and control plane that ships with the product: multi-tenant isolation, service-to-service auth, customer data boundaries, secure defaults in APIs and workers, abuse-resistant rate limits, product-scoped secrets and encryption, and security design reviews for product infra changes. Use when threat-modeling product features, designing tenant isolation, hardening service mesh or internal APIs, reviewing product IaC/modules for data leaks, defining secure baselines for microservices the product team owns, or partnering on incidents affecting customer workloads—not for corporate IdP/SIEM (information-security-engineer), CI pipeline gates only (devsecops), SOC operations (defensive-security-analyst), authorized pentest execution (offensive-security-analyst), general IDP golden paths (platform-engineer), company-wide GRC (cybersecurity), or applied AI solution architecture for LLM features (applied-ai-architect-commercial-enterprise).
Guides digital forensics for security incidents—evidence acquisition and chain of custody, disk/memory/mobile/cloud artifact analysis, log and network forensics, timeline correlation, malware artifact triage, and investigation reports for legal/IR and expert-witness preparation outlines (not legal advice). Use when preserving and analyzing forensic artifacts, building super-timelines, documenting acquisition worksheets, triaging malware samples, or preparing forensic findings for counsel—not live incident command (incident-responder), SOC alert queue triage (soc-analyst), authorized penetration testing (penetration-tester), deep binary RE (reverse-engineer), LLM red team (ai-redteam), enterprise ISMS programs (information-security-engineer), audit control mapping (compliance-engineer), or cloud guardrail implementation (cloud-security-engineer).