project-instructions-generator
Skill0 starsChanged 2 months agoMITView on GitHub
Generates Claude Project instructions for any use case including client engagements, product development, operational domains, or research projects. Produces token-efficient behavioral instructions that define how to operate. Triggers on 'create project instructions for', 'set up a Claude Project for', 'I need a copilot for', or 'help me configure a Claude Project'.
In this repository6 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Create token-efficient behavioral instructions that define HOW a Claude Project should operate.
- Distinctive: line 30
All instructions follow the same structural pattern:
- Distinctive: line 83
Ask clarifying questions first: if inputs are incomplete
- Distinctive: line 90
Before finalizing instructions, verify:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Project Instructions Generator
Generate Claude Project instructions for any use case: client engagements, product development, operational domains, or research projects.
Purpose
Create token-efficient behavioral instructions that define HOW a Claude Project should operate. Instructions are distinct from memory (facts/state) and project files (reference materials).
Use Case Routing
| Use Case | When to Use |
| Client Engagement | Active client work, consulting engagements, fractional roles |
| Product Development | Building a product, course, app, or offering |
| Operational Domain | Internal workflows, business functions, recurring processes |
| Research & Learning | Exploration, skill-building, knowledge synthesis |
Shared Architecture
All instructions follow the same structural pattern:
1. CONTEXT (~100-150 words)
- Who/what this serves
- Current state and goals
- Key constraints
2. MANDATE (~50-100 words)
- 4-5 bullet primary directives
- What Claude must always do
3. MODES/WORKFLOWS (~100-200 words)
- Operating modes or process stages
- When to use each
4. GUARDRAILS (~75-125 words)
- Always/Never rules
- Scope boundaries
- Escalation triggers
5. DOMAIN KNOWLEDGE (~100-200 words)
- Key terms, entities, relationships
- Tables preferred over proseTarget Length: 800-1,100 words total (fits comfortably in context)
Instructions vs Memory vs Files
| Type | Purpose | Examples |
| Instructions | HOW to behave | Mandate, modes, guardrails, tone |
| Memory | WHAT is true now | Current status, recent decisions, active blockers |
| Project Files | Reference material | Templates, SOWs, client docs, pricing guides |
Rule: Instructions define behavior. Memory holds state. Files provide reference.
Token Optimization
Apply these condensation patterns:
- Tables over paragraphs — Structured data compresses 40-60%
- Eliminate hedge words — "generally", "typically" → specific statements
- Merge related bullets — Combine similar items into one
- Reference, don't repeat — Point to skills/files for details
- Symbols for status — 🔴 ⚠️ ✅ ⏳ instead of words
- Implicit > explicit — Trust Claude's judgment on obvious matters
Output Format
When generating instructions:
- Ask clarifying questions first if inputs are incomplete
- Output as Markdown — Paste-ready for Claude Project instructions field
- Include memory bootstrap — Suggested initial memory entries
- Flag project files needed — What reference docs should be uploaded
Quality Checklist
Before finalizing instructions, verify:
- Under 1,100 words total
- Clear mandate (4-5 bullets max)
- Modes/workflows defined with triggers
- Guardrails include scope boundaries
- Tables used where appropriate
- No redundancy with default Claude behavior
- Memory bootstrap provided
- Project file recommendations included
Customization
See references/customize-this-skill.md to add your own templates and examples.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

