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SkillsMP has collected 29 skills from JZKK720/hermes-agent. Open a skill to review its source and details.
Showing 29 of 29 collected skills.
15-platform internet research router: Twitter/X, Reddit, XiaoHongShu, Bilibili, YouTube, LinkedIn, GitHub, V2EX, RSS, and more. Use when researching topics across social platforms, searching for discussions, or looking up anything on the web beyond basic…
Self-rate output on 5 axes (accuracy, completeness, clarity, actionability, conciseness) after completing non-trivial tasks. Produces a structured 1-5 scorecard with improvement suggestions.
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold.
Diagnose and fix GitHub Actions CI failures. Inspects workflow runs and logs, identifies root causes, implements minimal fixes, and pushes to a fix branch.
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter guide. Use when joining a new project or exploring a repo for the first time.
Create a GitHub pull request following project conventions. Use when asked to create a PR, submit changes for review, or open a pull request.
Curated library of 74 real-world DESIGN.md files (Apple, Stripe, Linear, Vercel, Notion, Airbnb, etc.). Use when the user wants a design system, says 'make it look like [brand]', or asks for design tokens/colors/typography for a named brand.
Fresh-context adversarial review before non-trivial decisions stand. Use when correctness matters more than speed, in unfamiliar code, high-stakes changes, or when a confident output would be cheaper to verify now than debug later.
Formal evaluation framework implementing eval-driven development (EDD). Use when setting up evals, defining pass/fail criteria, measuring agent reliability with pass@k metrics, or creating regression test suites.
Execute a written implementation plan task-by-task with review checkpoints. Use when you have a plan and are ready to implement.
Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction. Use when building new apps, landing pages, redesigning, or invoking hallmark by name.
Collaborative design dialogue before any implementation. Use before creating features, building components, adding functionality, or modifying behavior. Hard gate: no code until design is approved.
Deliver changes incrementally across files. Use when implementing any feature or change that touches more than one file, or when a task feels too big to land in one step.
Behavioral guidelines to reduce common LLM coding mistakes: think before coding, simplicity first, surgical changes, goal-driven execution. Use when writing, reviewing, or refactoring code.
Design, scaffold, audit, and operate agent loops — scheduled automations that prompt agents on your behalf. Use when setting up automated workflows like daily triage, PR babysitter, CI sweeper, or dependency sweeper.
Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops. Use when analyzing code for recurring work, finding published loops, or turning goals into bounded loops.
Force the laziest solution that actually works — YAGNI enforcement. Use when the user says 'be lazy', 'simplest solution', 'minimal solution', 'yagni', 'do less', or complains about over-engineering. Supports lite/full/ultra intensity.
Local-evidence production readiness audit for shipped apps, pre-launch reviews, and post-merge checks. Use when asking 'is this production-ready', 'what breaks in prod', or before a launch.
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Anti-slop frontend design skill for landing pages, portfolios, and redesigns. Reads the brief, infers the right design direction, and ships interfaces that don't look templated.
Write comprehensive implementation plans from specs. Use when you have a spec or requirements for a multi-step task, before touching code.
Pre-landing PR review with structural-issue checklist + 8 specialist lenses. Use when asked to review a PR, code review, check diff, or pre-landing review.
Prevent destructive operations when working on production systems or running agents autonomously. Use for cron jobs, kanban workers, and unattended agent sessions.
Capture hard-won workflows as reusable skills. Use after debugging, discovering project facts, or when the user says 'remember this'. Complements the Hermes curator system.
Comprehensive verification system: build, types, lint, tests, security, diff review. Use after completing features, before PRs, or after refactoring.
Enable and configure the Hermes API server — the OpenAI-compatible endpoint on :8642. Walks through generating a secure API_SERVER_KEY, setting env vars, binding ports in compose, and connecting external frontends (Open WebUI, LobeChat, LibreChat,…
Bring up Hermes locally with Docker Compose, seed data/.env from docker/hermes-env.example, inspect logs, and smoke test the fork's deployment wrapper around the published upstream image. Use when asked to install without local builds, validate docker…
Diagnose and fix the WeChat (weixin) channel when it won't connect — wrong base URL, expired session (errcode=-14), missing credentials, or token lock conflicts. Walks through triage, fixes data/.env, and guides QR re-scan via dashboard or CLI. Use when…
Review fork divergence, sync origin/main with upstream/main, keep this fork aligned as a deployment wrapper around the published upstream nousresearch/hermes-agent image, preserve data/.env and Postgres state, and produce a smoke-test plan for deployment…