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Found 571 Skills
Triggers on cluttered folders, file chaos, storage cleanup, or directory restructuring needs. TRIGGER WHEN: organizing messy folders (Downloads, Desktop, Documents), finding duplicate files, cleaning up old files, restructuring project directories, separating work from personal files, or automating file cleanup tasks DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.
Use when building Rails features that handle personal data, adding encryption to models, implementing consent flows, building DSAR endpoints, or adding anonymization/pseudonymization. Also use when reviewing code for compliance with privacy laws like GDPR and LGPD, or when asked about privacy-by-design patterns in Rails.
Automatically generate personal weekly reports based on Git commit records and code changes. Use this skill when users request to generate weekly reports, work summaries, or summarize weekly work content. Supports custom time ranges, committer filtering, output formats, and detail levels.
Guide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marking the close, implementing post-trade best execution review, evaluating allocation fairness with pro-rata verification or dispersion analysis, designing exception-based monitoring workflows with escalation paths, correlating trading with MNPI events for insider trading detection, building personal trading surveillance for preclearance and blackout enforcement, determining SAR or blue sheet or CAT reporting triggers, or tuning surveillance thresholds to reduce false positives. Also covers turnover ratios, cost-to-equity ratios, and investigation case management.
Analyze lending products including mortgages, HELOCs, and personal loans with amortization and comparison tools. Use when the user asks about mortgage comparison, fixed vs ARM rates, loan qualification, amortization schedules, extra payments, or buying points. Also trigger when users mention 'monthly payment calculation', '15-year vs 30-year mortgage', 'PMI', 'APR vs interest rate', 'HELOC', 'home equity', 'should I buy down the rate', 'biweekly payments', or ask how much house they can afford.
Identify, disclose, and mitigate conflicts of interest in advisory and brokerage relationships under Reg BI and fiduciary duty. Use when the user asks about compensation-based conflicts, proprietary product incentives, revenue sharing disclosure, principal trading consent, soft dollar arrangements, pay-to-play restrictions, gifts and entertainment limits, personal trading policies, or code of ethics requirements. Also trigger when users mention 'is this a conflict', 'recommending our own funds', 'higher payout on annuities', 'outside business activity conflicts', 'allocation fairness across accounts', 'political contribution to a pension board member', or ask how to disclose or eliminate a conflict.
Build a personal knowledge wiki from your notes, journals, and documents. LLM ingests data, synthesizes cross-linked Wikipedia-style articles, and serves a web UI.
Use when creating a new skill, adding a skill to the user's setup, or the user says "make this a skill". All personal skills live in the arjit-skills monorepo and are symlinked into place.
Review existing code, diffs, branches, or pull requests using concern-specific reviewer personas and evidence. Use when auditing someone else's work, triaging risk in a PR, or producing a ship-it / needs-review / blocked verdict. Do not use to verify your own completed change; use `verify` for that.
Create, extract, refine, review, critique, or iterate on the brand identity at `stardust/brand-profile.json` and `stardust/brand-board.html` (and `.impeccable.md`) — philosophy, logo, colors, typography, componentStyle, motifs, photography direction, voice, tone, content pillars, personas, spacing. Ingests guidelines (PDF, URL, or conversation) or iterates on an existing profile. Use when the user provides brand guidelines, when the user asks to change, refine, refactor, review, improve, polish, critique, or iterate on any aspect of brand identity, or whenever the user asks to modify a file at `stardust/brand-profile.json`, `stardust/brand-board.html`, or `.impeccable.md`.
Use when asking a question against a personal wiki built with wiki-init and wiki-ingest. Do not answer from general knowledge — always read the wiki pages first.
Create a personal GitHub coding retrospective from a date range and turn it into a short Markdown review. Research commit activity across accessible public and private repositories through the authenticated gh CLI, understand what the relevant repositories and subsystems are for, and write a prose retrospective with stats and highlights. Use when the user asks for a commit review, coding recap, engineering retrospective, GitHub activity story, weekly/monthly/yearly highlights, or a written summary of what their commits achieved.