AI Agent Workflow Collection

Make data visualizations accessible and inclusive.

Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.

Explains what Airtable is and how data is structured — bases, tables, fields, records, views, automations, and interfaces.

The base44 CLI is used for EVERYTHING related to base44 projects: resource configuration (entities, backend functions, ai agents), initialization and actions (resource creation, deployment). This skill is the place for learning about how to configure resources.

Troubleshoot production issues using backend function logs. Use when investigating app errors, debugging function calls, or diagnosing production problems in Base44 apps.

Drafts multiple email replies or follow-ups in batch using the Superhuman Mail MCP server — processing your inbox in bulk rather than one email at a time. Use this skill whenever someone asks to "draft replies to my unread emails", "respond to all my emails", "write follow-ups for my meetings this week", "batch draft responses", "draft emails for all threads that need a reply", "auto-draft my inbox", "help me respond to everything", "write follow-up emails based on my meetings", "process my inbox", "draft responses to these threads", or any variation of wanting multiple emails drafted at once. Also trigger when someone says "I have a bunch of emails to respond to", "help me get through my inbox", "draft a mail merge", "send personalized emails to these people", or wants to create multiple drafts from a single prompt. Trigger broadly — if someone wants more than one email drafted, this skill should activate.

Boltz job status and result recovery. Use when listing jobs, checking progress, resuming downloads, recovering results, or downloading an existing job ID. Not for starting new jobs.

Boltz CLI setup and auth. Use when installing, updating, verifying, or authenticating boltz-api, or fixing missing CLI, PATH, sandbox, browser login, or auth errors.

Design new protein binders with Boltz. Use when generating protein, peptide, antibody, nanobody, or custom binder candidates for a target. Not for screening existing proteins or small molecules.

Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target. Not for designing new proteins or screening small molecules.

Predict Tier-1 ADME/ADMET for small molecules with Boltz from bare SMILES — no target, no docking. Use when the user wants solubility, permeability, or lipophilicity/logD for a molecule or list of molecules. Not for ranking molecules against a protein target (use boltz-small-molecule-screen, which already returns ADME free).

Design new small-molecule binders with Boltz. Use when generating novel ligands or hits for a target without a fixed compound library. Not for screening existing molecules or one-off docking.

Screen existing small-molecule libraries with Boltz. Use when docking, scoring, or ranking a supplied SMILES or compound library against a target; also returns free Tier-1 ADME/ADMET (solubility, permeability, lipophilicity/logD) per molecule. Not for de novo molecule design, one-off docking, or ADME on bare SMILES with no target (use boltz-small-molecule-adme).

Predict structures and binding for one defined complex with Boltz. Use when folding a protein, RNA, DNA, or ligand complex, docking one ligand, predicting an interface, or scoring binding. Not for screening libraries or design.

Use BrightHire tools when a user asks about BrightHire interview intelligence, calls, candidates, roles, scorecards, transcripts, hiring decisions, or organization-level interview data.

Bulk Q&A Answers skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to answer multiple buyer questions at once, generate AI draft responses from VDR content, produce a Q&A tracker spreadsheet, or build a Q&A management dashboard. Triggers include: "answer the Q&A", "draft responses to buyer questions", "process the question list", "generate Q&A tracker", "answer all questions", "bulk answer", "Q&A management dashboard", "respond to diligence questions", or any request to systematically work through a list of buyer questions using data room content as the source. Use this skill proactively whenever a buyer has submitted questions and the deal team wants AI-assisted drafting. Do not use for individual one-off questions outside a structured Q&A process. Do not draft answers from general knowledge — all responses must come from the data room.

Render data visualizations with Canvas2D.

Expert coding assistant for Catalyst by Zoho — full-stack serverless cloud platform. Trigger on any mention of Catalyst, zcatalyst, AppSail, Data Store, ZCQL, Cache, Stratus, Circuits, SmartBrowz, ConvoKraft, Slate, Signals, Pipelines, QuickML, NoSQL, Job Scheduling, Zia Services, CodeLib, API Gateway, Connections, Zoho MCP, CatalystbyZoho, catalyst init/deploy/serve, zcatalyst-sdk-node, or catalyst-config.json. Covers all 7 function types, full service catalog, architectural guidance, and Zoho MCP tool-based resource management. Also trigger on migration/comparison with AWS Lambda, S3, DynamoDB, Vercel, Netlify, Supabase, Firebase, Heroku, Cloud Run, Cloudflare R2, Railway. Trigger on Catalyst pricing, cost estimation, or "create tables for me", "set up the database", "deploy to Catalyst", "build on Zoho's platform", or "is Catalyst like Firebase". Do NOT use for generic Zoho CRM questions unless Catalyst is the target.

Forecast private capital cashflows for existing portfolios using Chronograph MCP data and a Takahashi-Alexander style model. Use when Codex needs to analyze or forecast LP-level contributions, distributions, NAV, unfunded exposure, net cashflows, or Excel-style cashflow forecast outputs from existing Chronograph funds, commitments, groups, or portfolios.

Prepare an LP to meet with their fund manager (GP): review the fund's latest reporting, surface what changed since last period, and draft the questions worth raising. Use when someone is getting ready for a manager call, quarterly check-in, annual meeting, LPAC meeting, or a re-up decision — for example "I have my quarterly call with this manager next week, help me prep," "what changed in this fund this quarter," "what should I ask them about these marks," or "what are the red flags in this reporting package." Draws on Chronograph fund and portfolio data when connected — captured reporting such as fund performance, schedules of investments, and portfolio company KPI profiles — and asks the LP to provide anything else it needs, such as a capital account statement, investor letter, or AGM or board deck.

GP platform one-pager and investor report generator for private equity portfolio companies. Use this skill whenever a user asks to generate a company tearsheet, one-pager, investor report, portfolio overview, or company deep-dive — especially when they name a company or ask to "build a report", "create a one-pager", or "show me a tearsheet". Also trigger when the user asks to include commentary, quarterly updates, investment narratives, or any Investment Overview in the report output. This skill handles live data fetching via a connected MCP data source OR from an uploaded Excel model, metric formatting, AI-generated or model-sourced commentary, and rendering a fully styled HTML one-pager. Also trigger for LP quarterly updates, valuation summaries, and portco performance pages — any output that combines financials, valuation, and return data for a single portfolio company.

Build custom data visualizations with D3.

Full CRUD and analysis for Mixpanel dashboards. Use when the user asks to build, create, analyze, read, understand, explain, modify, update, enhance, or manage dashboards, or asks about dashboard layout, text cards, or report arrangement. Covers dashboard analysis (read + understand existing), creation (new builds), modification (update existing), and explanation (data-driven annotation).

Design dashboards and live visualization systems.