Skip to content
Agentmart
Submit a tool

recommend_resolution

Generate actionable multi-step resolution protocol with human approval controls.

Skill by MADHANKUMAR98

IndexedMIT
Write a review

Chalk Labs

Need help deploying recommend_resolution?

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.

Book a call

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/madhankumar98-recommend-resolution

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.

We use your email only for this newsletter. Privacy

About

Generate actionable multi-step resolution protocol with human approval controls.

No 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/recommend-resolution

What's inside

Skill name
recommend_resolution
Description
Generate actionable multi-step resolution protocol with human approval controls.
License
MIT
Instructions
9 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Skill: `recommend_resolution`

## Execution Steps
1. Match root cause with applicable SOP section.
2. Formulate ordered list of operational actions (SWIFT repair dispatch, escalation, continuous monitoring).
3. Compute potential CSDR penalty and risk avoidance metrics.
4. Prepare Human Approval package with [Approve], [Reject], and [Request More Evidence] options.

From MADHANKUMAR98/clearset-ai, MIT.

More from MADHANKUMAR98/clearset-ai

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Aug 9, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from MADHANKUMAR98

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 recommend_resolution 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.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying recommend_resolution?

CallGet help
Cite this page

recommend_resolution skill. Agent Mart. https://agentmart.dev/skills/madhankumar98-recommend-resolution (last updated 2026-10-24)