agentic-engineering
Skill0 starsChanged 4 months agoMITView on GitHub
Core agentic software engineering patterns for Hermes Agent — autonomous development, multi-agent coordination, test-driven loops, and self-improving workflows.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- anuragsarkar97/skillstheir own version, first seen Nov 8, 2026
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- vpeetla-ai/venkat-ai-platformtheir own version, first seen Nov 8, 2026
- Mark393295827/graph-engineering-architecturestheir own version, first seen Nov 8, 2026
- Lukk17/agent-standardstheir own version, first seen Nov 7, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
Used with
Projects with it also use aegis-gateway, deploy-vercel-render and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
vpeetla-aiSkillaegis-gateway
Integrate AegisAI gateway before tool side effects (notify, publish, deploy). Use when adding Slack/Telegram/WhatsApp notify, content publish, or any irreversible external action in VAP, AegisLoop, or ai-content-factory.
Also in 6 projects that use this
vpeetla-aiSkilldeploy-vercel-render
Deploy vpeetla-ai demos: Vercel static/Next.js frontends, Render FastAPI backends, env vars, free tier gotchas. Use when shipping demos, fixing deploy failures, or adding render.yaml / vercel.json.
Also in 6 projects that use this
loulanyueSkillnuxt4-patterns
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
Also in 10 projects that use this
RojiosSkilldart-flutter-patterns
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
Also in 7 projects that use this
TironFoxSkillagent-payment-x402
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Also in 6 projects that use this
- +7 more from vpeetla-ai
Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- loulanyue/awesome-claude-notes★ 272same name
- Fmarzochi/EGC★ 61same name
- drvoss/everything-copilot-cli★ 48same name
- gongyijie85/dsh-ecc★ 8same name
- Mark393295827/graph-engineering-architectures★ 4same name
- bjornjee/skills★ 2same name
- joelbrilliant/agentic-delivery-skills★ 2same name
- ronmkr/PromptBook★ 2same name
- vpeetla-ai/aegisai-enterprise-agent-platform★ 2same name
- vpeetla-ai/multi-agent-system-pattern★ 2same name
22 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- agent-architecture-auditSkill
- agent-evalSkill
- agent-harness-constructionSkill
- ai-first-engineeringSkill
- api-designSkill
- architecture-decision-recordsSkill
- autonomous-agent-harnessSkill
- autonomous-loopsSkill
- backend-patternsSkill
- benchmark-methodologySkill
- benchmark-optimization-loopSkill
- blueprintSkill
- codebase-onboardingSkill
- codehealth-mcpSkill
- coding-standardsSkill
- context-budgetSkill
- continuous-agent-loopSkill
- cost-aware-llm-pipelineSkill
- database-migrationsSkill
- deep-researchSkill
- deployment-patternsSkill
- docker-patternsSkill
- error-handlingSkill
- eval-harnessSkill
- git-workflowSkill
- hipaa-complianceSkill
- iterative-retrievalSkill
- product-lensSkill
- prompt-optimizerSkill
- research-opsSkill
- rules-distillSkill
- safety-guardSkill
- search-firstSkill
- security-bounty-hunterSkill
- security-reviewSkill
- security-scanSkill
- hcc-bundleSkill
- token-budget-advisorSkill
- verification-loopSkill
The file
Files
Agentic Engineering for Hermes
Core patterns for autonomous software engineering with Hermes Agent.
Philosophy
Agentic engineering means the agent drives the development loop:
- Understand → Read code, specs, requirements
- Plan → Break into tasks, create tickets
- Execute → Write code, run tests, iterate
- Verify → Test, lint, security scan, review
- Learn → Save patterns as skills, update memory
Core Loops
1. TDD Loop (Red-Green-Refactor)
/hermes
> Goal: Implement user authentication with JWT
## Phase 1: Red - Write failing test
Write test for JWT token generation with expiry
## Phase 2: Green - Make it pass
Implement minimal JWT service
## Phase 3: Refactor - Improve design
Extract token config, add refresh logic, add tests
## Phase 4: Verify
Run full test suite, lint, security scan2. Autonomous Feature Loop
delegate_task(
goal="Build complete user authentication feature",
context="
Requirements:
- User registration with email/password
- JWT access + refresh tokens
- Password reset flow
- Rate limiting on auth endpoints
- Tests: unit + integration
Stack: FastAPI, PostgreSQL, Redis
Existing: User model, database config
"
)3. Self-Improvement Loop
# After each task completion:
1. Save successful patterns as skills
2. Update project CLAUDE.md / .hermes.md
3. Record lessons in memory
4. Add test cases for regressionsMulti-Agent Coordination
Role Definitions
| Agent | Responsibility | Tools |
| Architect | Design, ADRs, API contracts | file, web, code_execution |
| Backend | API, DB, business logic | terminal, file, code_execution |
| Frontend | UI, state, integration | terminal, file, browser |
| QA | Tests, security, performance | terminal, code_execution, web |
| DevOps | CI/CD, infra, monitoring | terminal, file, cronjob |
Coordination Protocol
# Shared context file: .hermes/coordination.md
## Active Tasks
- [ ] Architect: Design auth API (in progress)
- [ ] Backend: Implement user model (blocked)
- [ ] Frontend: Design login UI (waiting)
## Decisions
- JWT over sessions (stateless)
- PostgreSQL for users, Redis for tokens
- bcrypt for password hashing
## Blockers
- Need DB migration reviewedHandoff Pattern
# Agent A completes task, creates handoff
handoff = {
"completed": "User model + migration",
"files_changed": ["models/user.py", "migrations/001_user.py"],
"tests": "tests/test_user_model.py (12 passing)",
"next_steps": [
"Implement JWT service",
"Add auth middleware",
"Create login endpoint"
],
"context_for_next": "Use existing db session pattern in database.py"
}
# Agent B reads handoff, continuesSkill-Driven Development
When to Create a Skill
- Pattern used 3+ times
- Complex multi-step workflow
- Domain-specific knowledge
- Reusable across projects
Skill Template
---
name: my-pattern
description: "Reusable pattern for X"
---
# Pattern: X
## When to Use
- Condition A
- Condition B
## Steps
1. Step one
2. Step two
## Example
\`\`\`bash
hermes -s my-pattern "task description"
\`\`\`
## Gotchas
- Gotcha 1
- Gotcha 2Project Structure for Agentic Projects
my-project/
├── .hermes/ # Hermes config & skills
│ ├── config.yaml
│ ├── skills/ # Project-specific skills
│ ├── coordination.md # Multi-agent state
│ └── memory/ # Persistent memory
├── specs/ # Feature specs (markdown)
│ ├── 001-auth-api.md
│ └── 002-user-profile.md
├── src/
│ ├── domain/ # Pure business logic
│ ├── application/ # Use cases, services
│ ├── infrastructure/ # DB, external APIs
│ └── presentation/ # API, CLI, UI
├── tests/
│ ├── unit/
│ ├── integration/
│ └── contract/ # API contract tests
├── skills/ # Shared skills (git submodule?)
├── CLAUDE.md # Project instructions
├── Makefile # Common commands
└── pyproject.tomlQuality Gates (Automated)
# .github/workflows/quality.yml
name: Quality Gates
on: [push, pull_request]
jobs:
quality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run tests
run: pytest --cov=src --cov-fail-under=80
- name: Lint
run: ruff check src tests
- name: Type check
run: mypy src
- name: Security scan
run: bandit -r src
- name: Dependency check
run: pip-auditMetrics to Track
| Metric | Target | Tool |
| Test coverage | >80% | pytest-cov |
| Type coverage | >90% | mypy |
| Security issues | 0 high | bandit, pip-audit |
| Cycle time | <30 min | Hermes insights |
| Skill reuse rate | >50% | Curator stats |
Anti-Patterns to Avoid
| Anti-Pattern | Better Approach |
| One giant prompt | Delegate subtasks |
| No verification | Always test after changes |
| Hardcoded config | Use config files + env vars |
| Skipping skills | Create skill after 2nd use |
| No memory | Use memory tool for context |
Quick Commands
# Start feature with TDD
hermes -s tdd "Add password reset endpoint"
# Multi-agent feature
hermes -w -s agentic-engineering "Build payment integration"
# Refactor with safety
hermes -s refactor "Extract service layer from controllers"
# Security audit
hermes -s security-review "Audit auth module"Skill Composition
tdd— Test-driven development enforcementautonomous-loops— Self-running agent loopscontinuous-agent-loop— CI-integrated agentsgit-workflow— Branch/commit/release automationdeployment-patterns— Deploy what you buildsecurity-review— Built-in security gates
Adapted from ECC agentic-engineering for Hermes Agent. Original: affaan-m/ECC
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

