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/salva-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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
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
- Techniques for finding and synthesizing information
- License
- GPL-3.0
- Instructions
- 10 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Research Guidelines 1. **Decompose the question.** Break complex queries into specific sub-questions. 2. **Search broadly, then deeply.** Start with memory and index searches, then web if needed. 3. **Cross-reference.** Use multiple sources to validate findings. 4. **Summarize clearly.** Present findings in a structured format with key points first. 5. **Note uncertainty.** Explicitly mark where information is incomplete or contradictory. 6. **Cite sources.** Reference where information came from (file, URL, memory key).
From salva/saivage, GPL-3.0.
More from salva/saivage
- 0.583score
saivage-container
salva
Operate Saivage v2 services in local classic LXC containers.
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
saivage-development-validation
salva
Validate Saivage v2 code, docs, web UI, and local LXC-backed services after changes.
SkillAFreshness: A★ 1Claude Code +9 - 0.488score
mcp-authoring
salva
How to create MCP server tools
SkillCFreshness: C★ 1Claude Code +9 - 0.483score
coding
salva
Best practices for writing and modifying code
SkillCFreshness: C★ 1Claude Code +9 - 0.412score
mcp-builder
salva
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
SkillDFreshness: D★ 1Claude Code +9 - 0.412score
skill-creator
salva
Create new skills, modify and improve existing skills, and measure skill performance.
SkillDFreshness: D★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- May 26, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- GPL-3.0
- Repository
- github.com/salva/saivage
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from salva
- 0.583score
saivage-container
salva
Operate Saivage v2 services in local classic LXC containers.
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
saivage-development-validation
salva
Validate Saivage v2 code, docs, web UI, and local LXC-backed services after changes.
SkillAFreshness: A★ 1Claude Code +9 - 0.488score
mcp-authoring
salva
How to create MCP server tools
SkillCFreshness: C★ 1Claude Code +9 - 0.483score
coding
salva
Best practices for writing and modifying code
SkillCFreshness: C★ 1Claude Code +9 - 0.412score
mcp-builder
salva
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
SkillDFreshness: D★ 1Claude Code +9 - 0.412score
skill-creator
salva
Create new skills, modify and improve existing skills, and measure skill performance.
SkillDFreshness: D★ 1Claude 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.
Get research running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/salva-research (last updated 2026-10-24)