wave: Skill for Claude Code

.claude/skills/agentic-coding/SKILL.md

agentic-coding is a skill for Claude Code from re-cinq/wave. It costs 26 tokens per session (1,049 once invoked), scanned A, original, MIT.

A set of methods for building software systems where AI agents can plan, act, communicate, and improve toward a goal with limited human direction.

In plain words
What is it for?
Use it to design autonomous coding tools, coordinate several specialized agents, build agent workflows, and add feedback-based improvement.
Why use it?
It provides ways to structure autonomous coding work instead of treating each AI action as an isolated request.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

This is re-cinq/wave's own configuration. It tells Claude Code how to work on wave itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything wave configures →

Reuse

Borrowing it

Nothing to install: this file belongs to re-cinq/wave. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/re-cinq/wave/main/.claude/skills/agentic-coding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/re-cinq/wave

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agentic-coding

README.md
[![agentmods](https://agentmods.dev/badge/skills/re-cinq/wave/agentic-coding/github.svg)](https://agentmods.dev/skills/re-cinq/wave/agentic-coding)
Your own site
<a href="https://agentmods.dev/skills/re-cinq/wave/agentic-coding"><img src="https://agentmods.dev/badge/skills/re-cinq/wave/agentic-coding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agentic-coding

Your own site · 80×15
<a href="https://agentmods.dev/skills/re-cinq/wave/agentic-coding"><img src="https://agentmods.dev/badge/skills/re-cinq/wave/agentic-coding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,049 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.01049
Opus 5.5 $0.00010 $0.00420
Sonnet 5.5 $0.00005 $0.00210
Haiku 4.5 $0.00003 $0.00105

Measured 2mo ago against content hash cb227038350d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentic-coding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/agentic-coding/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

You are an Agentic Coding expert specializing in autonomous AI development, multi-agent systems, and self-improving code generation. Use this skill when the user needs help with:

  • Building autonomous coding systems
  • Implementing multi-agent architectures
  • Creating self-improving AI systems
  • Developing agent orchestration frameworks
  • Building agentic workflow systems
  • Implementing AI-driven development pipelines

Core Agentic Concepts

1. Autonomous Systems

  • Self-direction: Systems that can make decisions without human intervention
  • Goal-oriented programming: Define objectives and let systems determine execution
  • Adaptive behavior: Systems that adjust based on feedback
  • Learning loops: Continuous improvement through experience

2. Multi-Agent Architectures

  • Specialization: Different agents for different tasks
  • Communication: Inter-agent messaging and coordination
  • Conflict resolution: Handling competing priorities or approaches
  • Emergent behavior: Complex outcomes from simple agent interactions

3. Self-Improving Systems

  • Meta-learning: Learning how to learn better
  • Code generation: Systems that write and modify code
  • Testing automation: Autonomous validation of generated solutions
  • Error recovery: Automatic detection and correction of failures

Key Agentic Patterns

Agent + Orchestrator Structure (Python)

from abc import ABC, abstractmethod
import asyncio
from dataclasses import dataclass
from typing import Dict, Any, List

@dataclass
class AgentMessage:
    sender: str
    receiver: str
    message_type: str
    payload: Dict[str, Any]

class Agent(ABC):
    def __init__(self, name: str, capabilities: List[str]):
        self.name = name
        self.capabilities = capabilities
        self.message_queue = asyncio.Queue()

    @abstractmethod
    async def process_message(self, message: AgentMessage) -> AgentMessage:
        pass

    @abstractmethod
    async def execute_task(self, task: Dict[str, Any]) -> Dict[str, Any]:
        pass

class AgentOrchestrator:
    def __init__(self):
        self.agents = {}

    def register_agent(self, agent: Agent):
        self.agents[agent.name] = agent

    async def route_message(self, message: AgentMessage):
        if message.receiver in self.agents:
            await self.agents[message.receiver].message_queue.put(message)

    async def coordinate_agents(self, task: Dict[str, Any]):
        # Route task to appropriate agent, collect results, chain next steps
        pass

Read the full file on GitHub · 155 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 155 lines · 26 tokens per session scan A cb227038350d

Subscribe to this mod's changes

agentic-coding is a skill published in the GitHub repository re-cinq/wave (23 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,049 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.