guided-benchmark-selection

Routes Advisor Center workflow requests that belong in the web experience or cannot be completed by another loaded skill or direct tool. Use when asked to open the tax evaluator, run a tax analysis, run income projections, import a book of business, import client accounts, analyze imported accounts, enroll or service a Separately Managed Account (SMA) or My Managed Accounts (MMA) account, get documentation, access a report workflow, or continue a known Advisor Center workflow unavailable in this chat. Skip when another skill or tool can directly complete the request.

Builds, imports, modifies or clones portfolios after the advisor confirms the holdings and write action. Use when asked to build from tickers or weights, create a portfolio from a statement, start from a model or saved portfolio, create a comparison portfolio, or explore a specific what-if variation. Skip when the portfolio already exists and the advisor is only asking for review or analysis.

Reviews returned portfolio opportunity checks, fund-health details, Funds to Explore, and approved follow-up links. Use when asked to show opportunities, explain why a fund is flagged, open fund details, show fund health, list clear checks, find Funds to Explore, or identify the next path from an opportunity. Skip when the advisor asks for a broad portfolio review before narrowing to opportunities.

Reviews a saved portfolio, household or model with Advisor Center analytics in three sections rendered inline in the chat — portfolio snapshot, stress scenarios, then opportunities, fund health and Funds to Explore — closing with follow-ups earned by what it found. Use when asked to review a portfolio, run a portfolio review, analyse holdings, pull up a client's account, run the numbers on a portfolio, look at concentration or downside exposure, find issues or opportunities in a portfolio, check whether a client's funds are healthy, or prepare for a client review meeting. Skip this skill when the advisor already named one specific analysis — "what's the risk on this", "run the stress scenarios", "how does this compare to the model" — and call that tool directly instead of running the three-section pass.

Explains modeled performance, projected wealth, methodology, advisory-fee treatment, and unsupported performance or projection requests. Use when asked to show modeled performance, project wealth, explain projection assumptions, check whether fees are included, or handle an unavailable horizon or configuration. Skip when the advisor asks for a broad portfolio review or only needs benchmark setup.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.

Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph credits, or validate API setup.

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure), see offers.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.