skills/terminal-ops/SKILL.md
Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.
npx skillsauth add affaan-m/everything-claude-code terminal-opsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this when the user wants real repo execution: run commands, inspect git state, debug CI or builds, make a narrow fix, and report exactly what changed and what was verified.
This skill is intentionally narrower than general coding guidance. It is an operator workflow for evidence-first terminal execution.
Pull these ECC-native skills into the workflow when relevant:
verification-loop for exact proving steps after changestdd-workflow when the right fix needs regression coveragesecurity-review when secrets, auth, or external inputs are involvedgithub-ops when the task depends on CI runs, PR state, or release statusknowledge-ops when the verified outcome needs to be captured into durable project contextSettle:
Before changing anything:
Solve one dominant failure at a time:
Use exact status words:
SURFACE
- repo
- branch
- requested mode
EVIDENCE
- failing command / diff / test
ACTION
- what changed
STATUS
- inspected / changed locally / verified locally / committed / pushed / blocked
development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.