slack-search

Use when a developer wants to build or validate Block Kit layouts for Slack messages, modals, or Home tabs: message layouts, modals/forms/dialogs, Home tab interfaces, interactive buttons or menus, or modifying existing Block Kit JSON. Also trigger on any Slack UI component (sections, actions, inputs, headers, alerts, tables, carousels), the words "blocks" or "Block Kit Builder", a request to preview rendered blocks, or pasted JSON like "type": "section". Validates via the blocks.validate API method.

Use when a developer wants to create, scaffold, or bootstrap a new Slack app or agent from scratch with the Slack CLI, or scaffold the project for a new app just created in App Settings (`--app`, `--template`, `--team`). Covers prerequisites, authentication, choosing a workspace to install into, and creating a project from a Bolt (JS or Python) template locally. Trigger on "create a Slack app", "new Bolt app", "start a Slack agent".

Use when a developer wants to deploy, host, or run a Slack app somewhere it keeps working after the local process stops, or mentions Railway, Heroku, `railway up`, `git push heroku`, `slack deploy`, a `deploy` hook in `.slack/hooks.json`, hosting a Socket Mode or Request URL (HTTP) Bolt app, deploying from Windows, graduating an app out of a developer sandbox, or tearing down a deployed app.

Use when a developer asks which Slack Web API method does something, needs a method's OAuth scopes or token type, wants to call or test a family.method endpoint (chat.postMessage, conversations.history, users.info, views.open), is handling cursor pagination (next_cursor) or rate limits (tier/ratelimited/Retry-After), or is debugging errors like missing_scope, invalid_auth, or channel_not_found. Also trigger on a pasted slack.com/api/ URL or docs.slack.dev/reference/methods link.

Use when answering a conceptual or how-to question about Slack platform features, or when asked to look up, fetch, or summarize a docs.slack.dev page, including a pasted docs.slack.dev link. Covers finding and reading official Slack docs as clean markdown.

Use when writing, drafting, scheduling, or improving a Slack message, announcement, or reply sent via the Slack MCP tools (slack_send_message, slack_send_message_draft, slack_schedule_message). Covers Slack markdown formatting, message structure, thread etiquette, reactions, and scheduling, and points to the right dialect for canvases and Block Kit.

Use when a developer wants to test, try out, smoke-test, verify, or confirm that a Slack app built with the Slack CLI (or a plain Bolt app) actually works, by running it in a developer sandbox or a Free Team, never a workspace with real users, with `slack run` and exercising its real slash commands, shortcuts, events, actions, modals, App Home, and assistant surfaces. Also covers `slack doctor` and `slack manifest validate` health checks before hands-on testing.

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.

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.

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 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.