Agent Project Development

Decision-tree methodology for scoping LLM pipeline projects: task-model fit, staged architecture, cost math.

Tested · Works

Test report

Verdict
Tested · Works
Score
9.6/10
Tested
Jul 16, 2026
Environment
Claude Code 2.x (agent harness)
Upstream re-checked
Aug 10, 2026 · beb7433

Applied to a 'summarize 50 weekly GitHub issues' planning task, the skill-guided answer produced a concrete acquire/prepare/process/parse/render pipeline with a real cost formula and file-system state layout, versus a baseline answer that vaguely suggested multi-agent 'if it gets complex' - exactly the anti-pattern the skill's own decision tree warns against for independent items.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

  • Installs cleanly 5/5
  • Triggers reliably 5/5
  • Output vs. baseline 9/10
  • Docs & honesty 5/5

What Agent Project Development does

A reference methodology for deciding whether a task suits LLM processing versus traditional code, structuring the work as a discrete acquire/prepare/process/parse/render pipeline with file-system state, and estimating token cost before building. Triggers when a user wants to start an LLM project, design a batch pipeline, evaluate task-model fit, or choose between single- and multi-agent architectures; explicitly excludes evaluation-rubric and multi-agent-handoff questions, which belong to sibling skills.

How to install Agent Project Development

git clone https://github.com/viktorbezdek/skillstack
mkdir -p ~/.claude/skills
cp -r skillstack/agent-project-development/skills/agent-project-development ~/.claude/skills/agent-project-development

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Agent Project Development

  • /agent-project-development Decision-tree methodology for scoping LLM pipeline projects: task-model fit, staged architecture, cost math.

It also activates on plain-language prompts like these:

  • Should I use an LLM or plain code to summarize these issues?
  • Help me scope a pipeline for processing fifty weekly GitHub issues
  • Estimate the token cost before I build this batch LLM pipeline

Frequently asked questions

Is the Agent Project Development skill free?
Yes. The skill itself is free from viktorbezdek/skillstack. SkillProof publishes the install command and an independent test verdict at no cost.
Does Agent Project Development work with Claude Code?
We tested it with Claude Code 2.x (agent harness) on Jul 16, 2026. Verdict: Tested · Works. Applied to a 'summarize 50 weekly GitHub issues' planning task, the skill-guided answer produced a concrete acquire/prepare/process/parse/render pipeline with a real cost formula and file-system state layout, versus a baseline answer that vaguely suggested multi-agent 'if it gets complex' - exactly the anti-pattern the skill's own decision tree warns against for independent items.
What is the Agent Project Development SkillProof Score?
9.6/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 9/10, docs & honesty 5/5.
How do I install Agent Project Development?
Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Agent Project Development with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.