Chalk Labs
Need help deploying research?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/infobip-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- Research skill. Explores a question, hypothesis, or problem statement through codebase inspection, documentation review, literature review, and user interviews. Strict trigger: only invoke when the user explicitly says `/research` or `research` verbatim.
- License
- Apache-2.0
- Instructions
- 26 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
Use this skill during the Research phase. Explore the research question from all relevant angles: code, documentation, literature, existing artifacts, and targeted user questions. Process: 1. Clarify the research question. 2. Inspect relevant repository files and documentation. 3. Use literature search when it is relevant and available. Confirm with the user before using external paper-search tools. 4. Ask targeted questions to clarify assumptions and validate findings. 5. Synthesize only validated findings into `RESEARCH.md`. Rules: - Ask one question at a time and wait for the answer. - For each question, provide multiple-choice answers plus an option for the user to write their own. - Mark your top pick and give a short justification. - Reference relevant files, documentation, papers, or prior artifacts. - Keep research separate from planning. Do not converge on an implementation plan unless the user explicitly moves to Planning. - Do not edit code during research unless the user explicitly asks. - If `RESEARCH.md` already exists, read it before writing so you can extend it rather than duplicate it. - Confirm the structure, content, and path of the report before writing. Expected output is `RESEARCH.md` with validated findings, open questions, and suggested next steps.
From infobip/agentic-development-workflow, Apache-2.0.
More from infobip/agentic-development-workflow
- 0.551score
scholar
infobipOfficial
Searches and analyzes academic papers through Semantic Scholar.
SkillCFreshness: CClaude Code +9 - 0.546score
to-tasks
infobipOfficial
Converts `PLAN.md` and optional `RESEARCH.md` into a loop-ready `TASKS.md`.
SkillCFreshness: CClaude Code +9 - 0.540score
brainstorm
infobipOfficial
Planning skill.
SkillCFreshness: CClaude Code +9 - 0.540score
handover
infobipOfficial
Compacts the current conversation into a handover document for a fresh coding-agent session.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 21, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from infobip
- 0.551score
scholar
infobipOfficial
Searches and analyzes academic papers through Semantic Scholar.
SkillCFreshness: CClaude Code +9 - 0.546score
to-tasks
infobipOfficial
Converts `PLAN.md` and optional `RESEARCH.md` into a loop-ready `TASKS.md`.
SkillCFreshness: CClaude Code +9 - 0.540score
brainstorm
infobipOfficial
Planning skill.
SkillCFreshness: CClaude Code +9 - 0.540score
handover
infobipOfficial
Compacts the current conversation into a handover document for a fresh coding-agent session.
SkillCFreshness: CClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/infobip-research (last updated 2026-10-24)