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SKILL.md

project-development

Agent skill frommuratcankoylan/Agent-Skills-for-Context-Engineering

This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-design and individual skill-loading or context-budget tactics to context-optimization.

How to install project-development

install project-development
# install the Agent-Skills-for-Context-Engineering pack with the skills CLI
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering

# or add only this skill to Claude Code: copy the folder

skills/project-development/

# into

~/.claude/skills/project-development/ (all projects)

.claude/skills/project-development/ (one project)

skills/project-development/SKILL.md

MITFull file
1# Project Development Methodology
2
3This skill covers the principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development. The methodology applies whether building a batch processing pipeline, a multi-agent research system, or an interactive agent application.
4
5The unit of work for this skill is the whole project or a multi-stage pipeline. Individual tool design (descriptions, schemas, error messages) belongs to `tool-design`. Per-skill activation routing belongs to the corresponding skill plus the corpus index. This skill owns the project-level questions: should you build this with an LLM at all, what shape should the pipeline take, what does it cost, how should it be iterated.
6
7## When to Activate
8
9Activate this skill when the unit of work is a whole project or pipeline:
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11- Deciding whether an LLM is the right primitive for a task at all (task-model fit before any code).
12- Shaping a multi-stage batch or agent pipeline (acquire / prepare / process / parse / render).
13- Estimating tokens, dollar cost, and timelines for an LLM-heavy project.
14- Choosing between single-agent and multi-agent at the project level.
15- Structuring agent-assisted iteration (where the agent helps build the project itself).
16- Designing structured output at the pipeline contract level (cross-stage handoff format).
17
18Do not activate this skill for adjacent work owned by other skills:
19…

Excerpt shown under the repository's MIT license.

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