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Found 737 Skills
Manage daily check-in records stored in local SQLite, supporting functions including adding check-ins, viewing records, statistical analysis, querying consecutive check-in days, deleting and modifying records. This skill should be actively used when users mention check-in, sign-in, recording daily habits such as exercise, reading, learning, fitness, meditation, running, cycling, etc., or want to check how many days they have stuck to a certain habit, how much time they spent exercising this week, what they checked in today. Even if the user does not explicitly say "check-in", it is applicable as long as it involves daily habit tracking and activity recording. It also works for English scenarios, such as check in, log my workout, track my reading, how many days in a row, streak, habits.
Audits a FastAPI project against architecture rules. Use when asked to "review routes", "check architecture", "audit this project", "does this follow fastapi rules", or "review my code structure".
Forensic diagnostic report for LOCI — collects environment state, runs health checks, and writes a timestamped report when analysis fails or doesn't trigger. Invoke when: "bug report", "LOCI isn't working", "exec-trace didn't run", "skill didn't trigger", "MCP not connecting", "results are wrong", "results missing", "generate diagnostic", "something is broken", "debug LOCI", or any LOCI failure the user wants investigated.
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations.
Inventory all founder resources across 8 categories for a one-person company. Use when Codex needs to systematically confirm what resources the founder has — experience, network, skills, relationships, channels, assets, time/money constraints, hard limits — by first doing a broad scan of each category, then drilling into specifics (distribution, usable portions, how to use, cost of use), and producing a confirmed detailed resource inventory written to `opc-doc/`. Does NOT analyze directions, preferences, suitability, or risk tolerance — those belong to downstream skills.
Assess business quality, competitive positioning, and sustainability of value creation beyond financial models. Use when the user asks about economic moats, competitive advantages, Porter's Five Forces, management quality, ESG integration, or business model analysis. Also trigger when users mention 'does this company have a moat', 'switching costs', 'network effects', 'brand value', 'management track record', 'capital allocation', 'insider ownership', 'red flags', or ask whether a company's advantage is durable.
Produces a design-plan (living document like an exec-plan) that maps an app domain to feature groups using Apple Design DNA patterns. Each feature group becomes a milestone buildable in one ios-taste session. Use when the user describes an app idea, domain, or workflow and needs a structured plan before building. Triggers on "plan this app", "what features does X need", "design plan", "feature breakdown", "what screens do I need", or any pre-build planning question. Also trigger when the user provides workflow notes or user interview results. CRITICAL: This skill produces a DESIGN-PLAN document only. It does NOT generate SwiftUI code, layouts, or visual design.
Manage Jetty workflows and assets. Use when the user wants to create, edit, run, deploy, debug, or monitor AI/ML workflows on Jetty. Also use when they mention collections, tasks, trajectories, datasets, models, labels, step templates, or workflow runs. Triggers include 'run workflow', 'create task', 'list collections', 'check trajectory', 'label trajectory', 'add label', 'deploy workflow', 'show results', 'download output', 'debug run', 'workflow failed', or any Jetty/mise/dock operations. Even if the user doesn't say 'Jetty' explicitly, use this skill whenever they're working with Jetty API endpoints, workflow JSON, or init_params.
Apply agenda-setting theory (McCombs & Shaw) to analyze how media salience transfers to public perception. Use this skill when the user needs to study media influence on public opinion priorities, evaluate issue salience transfer across media and public agendas, or design communication strategies that leverage agenda-setting effects — even if they say 'why is everyone talking about this topic', 'how does media shape public priorities', or 'which issues get attention and why'.
Apply behavioral finance theory to identify systematic investor biases and their impact on asset prices. Use this skill when the user needs to analyze irrational market behavior, explain pricing anomalies through cognitive biases, diagnose investor decision errors, or when they ask 'why do investors hold losers too long', 'how does loss aversion affect pricing', or 'what biases drive this market pattern'.
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'.
Apply meta-analysis to synthesize effect sizes across multiple studies, assess heterogeneity, and evaluate publication bias. Use this skill when the user needs to combine findings from prior research, compare fixed-effect vs random-effects models, compute pooled effect sizes, or when they ask 'what does the overall evidence say', 'how do I combine results across studies', or 'is there publication bias'.