# AI use cases for Genspark Claw (breakstageaxe61/genspark-claw) Repo: [breakstageaxe61/genspark-claw](https://github.com/breakstageaxe61/genspark-claw) | Use cases: 4 | Page: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/ genspark-claw is a free, open-source, zero-dependency Node.js CLI and skill pack of five SKILL.md instruction sets for Genspark Claw, OpenClaw, and Hermes agents, plus an MCP server. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Run cited deep research and turn it into a report: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/deep-research-with-cited-report/ - Turn research into a slide deck outline: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/research-to-slide-deck-outline/ - Prepare an AI phone call with a script and guardrails: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/prepare-ai-phone-call/ - Automate browser steps that survive page redesigns: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/browser-automation-that-survives-redesigns/ ## How to run cited deep research and turn it into a report with Genspark Claw Repo: [breakstageaxe61/genspark-claw](https://github.com/breakstageaxe61/genspark-claw) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Install super-research and spark-report so your agent researches a question and writes a cited page. **Who it is for:** An analyst or founder who needs a sourced answer on a topic and runs OpenClaw or Hermes as a personal agent. **The problem:** Writing a research prompt, checking sources, and formatting the result into a shareable report takes hours of manual steps. **The outcome:** Your agent returns a fully cited research report with an executive summary, tables, and next steps. ### Steps 1. Run `mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw` 2. Run `npx genspark-claw doctor` and confirm the checks pass 3. Run `npx genspark-claw install all --target openclaw` (use `npx genspark-claw install all --target hermes` for Hermes) 4. Restart the OpenClaw gateway or start a new session, then invoke /super-research with your question 5. Ask the agent to pass the research through spark-report to produce the final report ### Prompt to paste into your agent ```text Using the genspark-claw repo at github.com/breakstageaxe61/genspark-claw, install the super-research and spark-report skills into and run super-research on the question: . Expected output: a cited report with an executive summary, inline citations, and next steps produced via spark-report. Verify that every claim in the report has a citation before reporting success. ``` ### Caveat The skills are instruction files that run inside your agent runtime, so the quality and sources of the output depend on that runtime's own tools and access. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/deep-research-with-cited-report/ ## How to turn research into a slide deck outline with Genspark Claw Repo: [breakstageaxe61/genspark-claw](https://github.com/breakstageaxe61/genspark-claw) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Convert a research topic into a narrative slide outline with speaker notes ready for AI Slides. **Who it is for:** A presenter or team lead with a meeting or pitch next week and a messy pile of notes or research. **The problem:** Building a clear narrative with claim-shaped titles and sourced speaker notes from raw research takes time. **The outcome:** A slide-by-slide outline with one idea per slide and sourced speaker notes, ready to paste into Genspark AI Slides. ### Steps 1. Run `mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw` 2. Run `npx genspark-claw install spark-slides --target claude` for Claude Code, or `npx genspark-claw install spark-slides --target cursor` for Cursor (inferred, check the README) 3. Run `npx genspark-claw list` to confirm spark-slides is available 4. Give your agent the research notes or a rough idea and ask it to follow the spark-slides skill 5. Review each slide title and speaker note against its source before importing into AI Slides ### Prompt to paste into your agent ```text Using the genspark-claw repo at github.com/breakstageaxe61/genspark-claw, install the spark-slides skill and use it on these notes: . Expected output: a numbered slide outline with claim-shaped titles and speaker notes that cite sources. Verify that each slide carries exactly one idea and that each speaker note names a source before reporting success. ``` ### Caveat The skill produces an outline; building the actual deck in AI Slides is a separate step the README does not describe in detail. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/research-to-slide-deck-outline/ ## How to prepare an AI phone call with a script and guardrails with Genspark Claw Repo: [breakstageaxe61/genspark-claw](https://github.com/breakstageaxe61/genspark-claw) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use call-prep to research a callee, set an objective and fallback, and draft a branching call script. **Who it is for:** A busy person who needs to book, confirm, or ask something by phone and wants the call planned before it is made. **The problem:** Phone calls go badly without a clear objective, a fallback plan, and a script that handles likely answers. **The outcome:** A call plan with objective, fallback, branching script, guardrails, and a structure for the post-call summary. ### Steps 1. Run `mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw` 2. Run `npx genspark-claw install call-prep --target openclaw` (or `npx genspark-claw install all --target openclaw`) (inferred, check the README) 3. Start a new OpenClaw session and invoke /call-prep 4. Give the agent the callee and the goal of the call 5. Read the guardrails and fallback before the call is placed ### Prompt to paste into your agent ```text Using the genspark-claw repo at github.com/breakstageaxe61/genspark-claw, install the call-prep skill and use it to prepare a call to with the objective: . Expected output: a call plan with objective, fallback, branching script, and guardrails. Verify that the plan includes a fallback path before reporting success. ``` ### Caveat The README covers preparing the call and does not describe how the phone call itself is placed, so confirm that step with your runtime. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/prepare-ai-phone-call/ ## How to automate browser steps that survive page redesigns with Genspark Claw Repo: [breakstageaxe61/genspark-claw](https://github.com/breakstageaxe61/genspark-claw) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use claw-browser-anchor to target stable DOM selectors and ARIA roles instead of screen coordinates. **Who it is for:** A person who runs repetitive web tasks through an agent and keeps seeing scripts break after small site layout changes. **The problem:** Coordinate-based browser steps fail as soon as a page layout shifts. **The outcome:** Browser steps anchored to DOM selectors and ARIA roles, with verify-after-act and drift recovery. ### Steps 1. Run `mkdir -p 'gensparkclaw' && cd 'gensparkclaw' && npm install github:breakstageaxe61/genspark-claw` 2. Run `npx genspark-claw install claw-browser-anchor --target workspace` to copy it into ./skills (inferred, check the README) 3. Run `npx genspark-claw info claw-browser-anchor` to read the full instructions (inferred, check the README) 4. Point your agent at the task and ask it to follow claw-browser-anchor 5. Check the verify-after-act result on the first run before trusting the flow ### Prompt to paste into your agent ```text Using the genspark-claw repo at github.com/breakstageaxe61/genspark-claw, install the claw-browser-anchor skill into the workspace and use it to automate this browser task: . Expected output: a set of steps that target DOM selectors or ARIA roles, each followed by a verification. Verify that the final page state matches before reporting success. ``` ### Caveat The skill is written instructions, so the browser it drives is whatever your agent runtime provides, and the README does not name one. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/breakstageaxe61-genspark-claw/browser-automation-that-survives-redesigns/