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hermes-imports

Convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths.

hermes-imports とは?

hermes-imports is a Claude Code agent skill that convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths.

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/hermes-imports

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ドキュメント

Hermes Imports

Use this skill when turning a repeated Hermes workflow into something safe to ship in ECC.

Hermes is the operator shell. ECC is the reusable workflow layer. Imports should move stable patterns from Hermes into ECC without moving private state.

When To Use

  • A Hermes workflow has repeated enough times to become reusable.
  • A local operator prompt should become a public ECC skill.
  • A launch, content, research, or engineering workflow needs sanitized handoff docs.
  • A workflow mentions local paths, credentials, personal datasets, or private account names that must be removed before publication.

Import Rules

  • Convert local paths to repo-relative paths or placeholders.
  • Replace live account names with role labels such as operator, default profile, or workspace owner.
  • Describe credential requirements by provider name only.
  • Keep examples narrow and operational.
  • Do not ship raw workspace exports, tokens, OAuth files, health data, CRM data, or finance data.
  • If the workflow requires private state to make sense, keep it local.

Sanitization Checklist

Before committing an imported workflow, scan for:

  • absolute paths such as /Users/...
  • ~/.hermes paths unless the doc is explicitly explaining local setup
  • API keys, tokens, cookies, OAuth files, or bearer strings
  • phone numbers, private email addresses, and personal contact graphs
  • client names, family names, or account names that are not already public
  • revenue, health, or CRM details
  • raw logs that include tool output from private systems

Conversion Pattern

  1. Identify the repeatable operator loop.
  2. Strip private inputs and outputs.
  3. Rewrite local paths as repo-relative examples.
  4. Turn one-off instructions into a When To Use section and a short process.
  5. Add concrete output requirements.
  6. Run a secret and local-path scan before opening a PR.

Example: Launch Handoff

Local Hermes prompt:

Read my local workspace files and finalize launch copy.

ECC-safe version:

Use the public release pack under docs/releases/<version>/.
Return one X thread, one LinkedIn post, one recording checklist, and the missing assets list.

Example: Quiet-Hours Operator Job

Local Hermes job:

Run my private inbox, finance, and content checks overnight.

ECC-safe version:

Describe the scheduler policy, the quiet-hours window, the escalation rules, and the categories of checks. Do not include private data sources or credentials.

Output Contract

Return:

  • candidate ECC skill name
  • sanitized workflow summary
  • required public inputs
  • private inputs removed
  • remaining risks
  • files that should be created or updated

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/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

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.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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