determine_root_cause
Synthesize structured trade attributes and unstructured policy context into an explainable root cause breakdown.
Skill by MADHANKUMAR98
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-determine-root-cause
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
Reviews
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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/determine-root-cause
What's inside
- Skill name
determine_root_cause- Description
- Synthesize structured trade attributes and unstructured policy context into an explainable root cause breakdown.
- License
- MIT
- Instructions
- 8 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: `determine_root_cause` ## Execution Steps 1. Isolate primary operational failure (e.g. missing standing instruction, cash mismatch, depository hold). 2. Identify contributing factors (counterparty historical delays, upcoming cutoff deadline, transaction volume peak). 3. Produce transparent explanation distinguishing immediate symptoms from core institutional causes.
From MADHANKUMAR98/clearset-ai, MIT.
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- 0.526score
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find_similar_cases
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Query historical investigations repository for institutional operational memory and resolution playbooks.
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retrieve_procedure
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Search operational SOPs, escalation policies, and regulatory guidelines via Snowflake Cortex Search.
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escalate_exception
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Initiate priority operational escalation to Settlement Operations desk leads and counterparty relationship managers.
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assess_settlement_risk
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Deterministic point-based calculation of settlement failure risk and CSDR regulatory penalty exposure.
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investigate_exception
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Complete 10-step procedural workflow for investigating financial post-trade settlement exceptions.
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recommend_resolution
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Generate actionable multi-step resolution protocol with human approval controls.
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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
- Repository
- github.com/MADHANKUMAR98/clearset-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from MADHANKUMAR98
- 0.526score
investigate-settlement-exception
MADHANKUMAR98
Investigate a post-trade settlement exception using live Snowflake data, Cortex Search for SOP retrieval, and Cortex Analyst for business queries.
SkillBFreshness: BClaude Code +9 - 0.524score
investigate-settlement-exception
MADHANKUMAR98
Investigate a post-trade settlement exception for ClearSet AI.
SkillBFreshness: BClaude Code +9 - 0.509score
find_similar_cases
MADHANKUMAR98
Query historical investigations repository for institutional operational memory and resolution playbooks.
SkillBFreshness: BClaude Code +9 - 0.509score
retrieve_procedure
MADHANKUMAR98
Search operational SOPs, escalation policies, and regulatory guidelines via Snowflake Cortex Search.
SkillBFreshness: BClaude Code +9 - 0.509score
escalate_exception
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Initiate priority operational escalation to Settlement Operations desk leads and counterparty relationship managers.
SkillBFreshness: BClaude Code +9 - 0.509score
assess_settlement_risk
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Deterministic point-based calculation of settlement failure risk and CSDR regulatory penalty exposure.
SkillBFreshness: BClaude Code +9
Cite this page
determine_root_cause skill. Agent Mart. https://agentmart.dev/skills/madhankumar98-determine-root-cause (last updated 2026-10-24)