SkillCheatSheet
project-development
An AI agent skill from muratcankoylan/Agent-Skills-for-Context-Engineering, scored 71 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
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.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Folder
- skills/project-development
- License
- MIT
- GitHub stars
- 18,341
- SKILL.md lines
- 305
- Other files
- 3
Add project-development to your agent
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill project-developmentThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
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All skills in muratcankoylan/Agent-Skills-for-Context-Engineering
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.