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Found 11 Skills
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
Generate professional data reports with charts, tables, and visualizations
Fantasy Premier League copilot: syncs live FPL data, analyzes players/teams/fixtures, manages your fantasy squad, and generates self-contained HTML reports for squads, fixtures, transfers, captain picks, and gameweek strategy. Use when the user asks about FPL, player stats, transfer advice, captain picks, fixture difficulty, gameweek strategy, or squad management.
Event prospecting skill. Takes a conference / event speakers URL, extracts the people, filters their companies against the user's ICP, then deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report where each card answers "why should the AE talk to this person?" with all public links and a one-click DM opener. Use when the user wants to: (1) find leads at a specific conference, (2) prep for an event, (3) research event speakers, (4) build a target list from a sponsor/exhibitor page, (5) scrape conference speakers and rank by ICP fit. Triggers: "find leads at {event}", "research speakers at", "prospect this conference", "stripe sessions leads", "ai engineer summit prospects", "event prospecting", "scrape conference speakers", "who should I meet at".
Executes web app workflows in Safari on the iOS Simulator from /workflows/ios-workflows.md. Use this when the user says "run ios workflows", "execute ios workflows", or "test ios workflows". Tests each workflow step by step in mobile Safari, captures before/after screenshots, documents issues, and generates HTML reports with visual evidence of fixes.
Produces a compact KPI digest showing how key metrics changed over a period and what's driving the movement. Use this skill when someone asks for a performance summary, a weekly recap, a morning briefing, a KPI update, or any variation of "how did we do this week/month." Also trigger for "give me a performance overview," "what moved in the last 7 days," "pull our AA KPI report," or "summarize our metrics."
Turn complex explanations into a one-page visual HTML explainer: the model writes only an extended Markdown content draft, while the skill’s bundled CLI handles templates, components, automatic SVG layout, and STE controlled-writing checks to produce a single-file page in one call. Use this skill as well when the user says `/answer-me-with-html config` or wants to change settings (automatically opening the browser, always-on mode, default theme). Proactively use it, without waiting for the user to ask, whenever an answer involves any of the following: ≥3 interrelated concepts; a flow/protocol/architecture with branches or multiple participants; a comparison or trade-off across ≥3 dimensions; a hierarchy (table of contents, modules, taxonomy); an evolutionary history or stages; or the user says "explain the principles / I didn’t get it / draw a diagram / explain this codebase / explain it with HTML / explain visually." Do not use it for: short Q&A that can be answered in under 200 characters, commands that need to be copied and executed immediately, pure code modifications, or when the user explicitly requests plain text.
Generate professional PDF/HTML reports with charts, tables, and narrative from data. Supports templates, branding, and automated report generation.
Write and save an OpenSEO report as one self-contained HTML page. Use when a skill has finished its research, and whenever the user asks for a report, check-in, or summary, or names a report template.
Run a Karpathy-style LLM council (3-stage multi-agent evaluation) on top of the existing orca orchestration: N seats independently answer a question, the answers are BLIND peer-ranked (identities stripped so a model can't favour its own), and a chairman synthesizes the final answer. The orchestration makes the model calls; harness/scripts/council.py does the deterministic protocol math (anonymization, mean-rank aggregation, dissent, anchor guard, transcript). Use when the user says "run a council", "llm-council", "panel of models", "blind peer-rank these answers", "ensemble + chairman", or invokes /council. Stage-4 is a MANDATORY HTML report, rendered inside council.py itself (offline, no CDN, no external skill): every `rank` writes a NEW versioned self-contained report (llmwiki/html/council/council-report-NNN-seed<seed>.html) — opinion cards (persona name + lens), a blind-vote table, and a dashboard. Isolated in try/except so a render bug never kills the core transcript.
Generate HTML artifacts for code review, PR explanation, and codebase understanding — rendered diffs with inline annotations, severity-coded findings, refactor risk maps, before/after migration views, and subsystem walkthroughs. Use whenever the user wants to review, explain, or understand a PR, refactor, codebase area, or subsystem — especially before merging, when onboarding others to a change, or when the GitHub diff view doesn't show enough context. Default to attaching an HTML explainer to every non-trivial PR.