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terminal-ops

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.

terminal-ops란 무엇인가요?

terminal-ops is a Claude Code agent skill that 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.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/terminal-ops

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문서

Terminal Ops

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.

Skill Stack

Pull these ECC-native skills into the workflow when relevant:

  • verification-loop for exact proving steps after changes
  • tdd-workflow when the right fix needs regression coverage
  • security-review when secrets, auth, or external inputs are involved
  • github-ops when the task depends on CI runs, PR state, or release status
  • knowledge-ops when the verified outcome needs to be captured into durable project context

When to Use

  • user says "fix", "debug", "run this", "check the repo", or "push it"
  • the task depends on command output, git state, test results, or a verified local fix
  • the answer must distinguish changed locally, verified locally, committed, and pushed

Guardrails

  • inspect before editing
  • stay read-only if the user asked for audit/review only
  • prefer repo-local scripts and helpers over improvised ad hoc wrappers
  • do not claim fixed until the proving command was rerun
  • do not claim pushed unless the branch actually moved upstream

Workflow

1. Resolve the working surface

Settle:

  • exact repo path
  • branch
  • local diff state
  • requested mode:
    • inspect
    • fix
    • verify
    • push

2. Read the failing surface first

Before changing anything:

  • inspect the error
  • inspect the file or test
  • inspect git state
  • use any already-supplied logs or context before re-reading blindly

3. Keep the fix narrow

Solve one dominant failure at a time:

  • use the smallest useful proving command first
  • only escalate to a bigger build/test pass after the local failure is addressed
  • if a command keeps failing with the same signature, stop broad retries and narrow scope

4. Report exact execution state

Use exact status words:

  • inspected
  • changed locally
  • verified locally
  • committed
  • pushed
  • blocked

Output Format

SURFACE
- repo
- branch
- requested mode

EVIDENCE
- failing command / diff / test

ACTION
- what changed

STATUS
- inspected / changed locally / verified locally / committed / pushed / blocked

Pitfalls

  • do not work from stale memory when the live repo state can be read
  • do not widen a narrow fix into repo-wide churn
  • do not use destructive git commands
  • do not ignore unrelated local work

Verification

  • the response names the proving command or test
  • git-related work names the repo path and branch
  • any push claim includes the target branch and exact result

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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