software-development-workflows

A collection of software-development workflows covering planning, debugging, testing, code review, cleanup, and technical experiments. TDD, or test-driven development, means writing tests before the code that satisfies them.

In plain words
What is it for?
Use it when planning or debugging changes, writing tests, attaching a debugger, reviewing or simplifying code, or testing an uncertain idea with a temporary prototype.
Why use it?
It provides a repeatable way to inspect a codebase, reproduce problems, choose an approach, make small changes, and check the result.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/dirtybits/agent-skills/software-development-workflows
Any agent
npx skills add dirtybits/agent-skills --skill software-development-workflows
Clone the repo
git clone --depth 1 https://github.com/dirtybits/agent-skills

Made for: Claude Code, Codex.

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00044 $0.01750
Opus 5 $0.00022 $0.00875
Sonnet 5 $0.00009 $0.00350
Haiku 4.5 $0.00004 $0.00175

Measured 2d ago against content hash 723bff33c00d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

software-development-workflows 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 2d 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.

skills/software-development-workflows/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Software Development Workflows

Overview

This umbrella covers the class-level software engineering practices that guide code work: planning, root-cause debugging, test-driven development, interactive debuggers, pre-commit review, simplification, and throwaway spikes.

It does not replace project-specific instructions. Always inspect the repository, its tests, and its conventions before applying generic recipes.

When to Use

  • Debug failing tests, runtime bugs, build failures, or integration issues.
  • Write tests before fixes or features.
  • Use Python pdb/debugpy or Node --inspect for interactive diagnosis.
  • Run a pre-commit review or simplify a change set.
  • Validate an uncertain technical approach with a spike.
  • Author or adjust Hermes skill files.

Do not touch protected slash-command skills such as plan; when planning only, use the protected planning entry point if available.

Core Workflow

  1. Inspect before editing. Read relevant files, errors, configs, and tests.
  2. Reproduce. Run the smallest failing command and capture real output.
  3. Choose practice. Debugging, TDD, debugger attachment, review, simplification, or spike.
  4. Make minimal changes. Avoid broad refactors while fixing root causes.
  5. Verify. Run targeted tests first, then broader checks appropriate to the repo.
  6. Summarize with evidence. Report commands run, outputs, files changed, and residual risk.

Labeled Subsections from Former Narrow Skills

Systematic debugging

  • No fixes before root cause. Read errors completely, reproduce, inspect recent changes, trace data flow, then form one hypothesis.
  • If three attempted fixes fail, stop and question architecture instead of stacking a fourth patch.

Test-driven development

  • RED: write or expose a failing test for the behavior.
  • GREEN: implement the smallest root-cause fix.
  • REFACTOR: clean only after tests prove behavior.

Python and Node debuggers

  • Python: prefer targeted pdb/debugpy breakpoints after reproducing the failure; avoid sprinkling permanent prints.
  • Node: use --inspect/Chrome DevTools protocol only when normal logs/tests are insufficient; verify the debug target and port.

Read the full file on GitHub · 112 lines

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. 2d ago First seen · 112 lines · 44 tokens per session scan A 723bff33c00d

Subscribe to this mod's changes

software-development-workflows is a skill published in the GitHub repository dirtybits/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,750 once invoked, about $0.0002 per session on Opus 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 2026-08-31.