How do I install the Context Engineering Advisor skill?

Run npx skillmds@latest add nandanosql/context-engineering-advisor in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Context Engineering Advisor safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Context Engineering Advisor?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Context Engineering Advisor free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Context Engineering Advisor?

nandanosql (@nandanosql) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Context Engineering Advisor by nandanosql

Name: Context Engineering Advisor
Author: nandanosql

File contents

Purpose

Guide PMs in structuring information for AI-assisted workflows — what context to provide, how to architect prompts, how to manage persistent context, and how to evaluate AI outputs for PM tasks.

Application

Question 1: PM Task

Agent asks: "What PM task are you trying to do with AI assistance?"

Writing (PRDs, user stories, specs)
Analysis (competitive, market, data)
Facilitation (workshops, meetings)
Decision-making (prioritization, evaluation)
Communication (presentations, emails, updates)

Question 2: Context Available

Agent asks: "What context do you have available?"

Product documents (PRDs, specs, roadmaps)
User research (interviews, surveys, analytics)
Competitive data (battle cards, market analysis)
Internal context (organizational knowledge, constraints)
Historical decisions (decision logs, meeting notes)

Output: Context Engineering Guide

# Context Engineering for: [PM Task]

## Context Selection
| Priority | Context Type | What to Include | Format |
|----------|-------------|----------------|--------|
| 1 (essential) | [Type] | [Specific items] | [How to structure] |
| 2 (helpful) | [Type] | [Specific items] | [How to structure] |
| 3 (nice-to-have) | [Type] | [Specific items] | [How to structure] |

## Prompt Architecture

[System context — role + constraints + quality criteria] [Task context — specific inputs for this task] [Output format — exact structure expected] [Quality checks — self-evaluation criteria]


## Memory Management
- **Persist across sessions:** [What to save as reusable context]
- **Refresh per task:** [What's task-specific]
- **Discard:** [What adds noise]

## Output Evaluation
- [ ] Does the output reflect the context provided?
- [ ] Would a PM recognize this as quality work?
- [ ] Are there hallucinated facts? (Always verify claims)
- [ ] Does it match the expected format?

References

Related Skills

skills/strategy/ai-shaped-readiness-advisor/SKILL.md — AI maturity assessment
skills/specification/prd-template/SKILL.md — AI-assisted PRD writing

Skill type: Interactive Domain: Communication & Stakeholders

---name: context-engineering-advisordescription: Guide PMs in structuring information for AI-assisted workflows — context selection, prompt architecture, memory management, and output evaluation for AI-shaped product management.---## PurposeGuide PMs in structuring information for AI-assisted workflows — **what context to provide, how to architect prompts, how to manage persistent context**, and how to evaluate AI outputs for PM tasks.---## Application### Question 1: PM Task**Agent asks:** "What PM task are you trying to do with AI assistance?"1. Writing (PRDs, user stories, specs)2. Analysis (competitive, market, data)3. Facilitation (workshops, meetings)4. Decision-making (prioritization, evaluation)5. Communication (presentations, emails, updates)### Question 2: Context Available**Agent asks:** "What context do you have available?"1. Product documents (PRDs, specs, roadmaps)2. User research (interviews, surveys, analytics)3. Competitive data (battle cards, market analysis)4. Internal context (organizational knowledge, constraints)5. Historical decisions (decision logs, meeting notes)### Output: Context Engineering Guide```markdown# Context Engineering for: [PM Task]## Context Selection| Priority | Context Type | What to Include | Format ||----------|-------------|----------------|--------|| 1 (essential) | [Type] | [Specific items] | [How to structure] || 2 (helpful) | [Type] | [Specific items] | [How to structure] || 3 (nice-to-have) | [Type] | [Specific items] | [How to structure] |## Prompt Architecture```[System context — role + constraints + quality criteria][Task context — specific inputs for this task][Output format — exact structure expected][Quality checks — self-evaluation criteria]```## Memory Management- **Persist across sessions:** [What to save as reusable context]- **Refresh per task:** [What's task-specific]- **Discard:** [What adds noise]## Output Evaluation- [ ] Does the output reflect the context provided?- [ ] Would a PM recognize this as quality work?- [ ] Are there hallucinated facts? (Always verify claims)- [ ] Does it match the expected format?```---## References### Related Skills- `skills/strategy/ai-shaped-readiness-advisor/SKILL.md` — AI maturity assessment- `skills/specification/prd-template/SKILL.md` — AI-assisted PRD writing---**Skill type:** Interactive**Domain:** Communication & Stakeholders

Frequently asked questions

Context Engineering Advisor