How do I install the Ace Analysis skill?

Run npx skillmds@latest add digi4care/ace-analysis 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 Ace Analysis 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 Ace Analysis?

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 Ace Analysis free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Ace Analysis?

digi4care (@digi4care) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ace Analysis by digi4care — Agent Skill

Name: Ace Analysis
Author: digi4care

File contents

ACE Analysis Skill

Analyzes AI agent sessions using ACE (Agentic Context Engineering) framework.

Purpose

Evaluate session quality and generate improvement suggestions for prompts, skills, and commands.

Triggers

/ace-reflect command
Session analysis requests
Prompt optimization tasks

Workflow

1. Collect Session Data

Preferred: om-session plugin tools

session-list → get recent sessions
session-read → get messages from session

Fallback: OpenCode CLI

opencode session list -n 10 --format json

Last resort: Direct context analysis (current conversation)

2. Determine Analysis Mode

Mode	Flag	Scope
Default	(none)	Text analysis, 2-3 findings
Verbose	`--verbose`	Deeper analysis, more findings
Technical	`--technical`	Include IDs, timestamps, tool stats
Full	`--full`	Complete analysis with all metadata

3. Analyze Session Content

Focus on patterns, not individual mistakes:

Response quality (clarity, accuracy, completeness)
Tool usage efficiency (redundant calls, missing tools)
Context management (pruning, distillation)
Workflow adherence (approval gates, context loading)

4. Score Session

Use scoring rubric from references/scoring-rubric.md:

Criterium	Weight	Focus
Completeness	5	All requested tasks completed
Accuracy	5	Correct solutions, no hallucinations
Efficiency	5	Minimal iterations, good tool usage
Clarity	5	Clear communication, good structure
Relevance	5	On-topic, no unnecessary tangents

Max Score: 25

5. Generate Report

Use template from references/report-template.md:

Summary (1-2 sentences)
Scores table
Findings (patterns, not individual mistakes)
Suggestions (specific, actionable)
Decision (no changes / review / changes recommended)

6. Return to Orchestrator

Return formal report for presentation to user.

References

references/report-template.md - Report structure
references/scoring-rubric.md - Detailed scoring criteria

Error Handling

Situation	Action
No session data	Analyze current context directly
Plugin unavailable	Use CLI fallback
Subagent spawn fails	Analyze in current context

Configuration

features:
  ace:
    enabled: true
    max_subagent_depth: 2
    auto_apply_suggestions: false

---name: ace-analysisdescription: Analyzes sessions using ACE framework to generate prompt improvement suggestions focused on durable patterns.license: MIT---# ACE Analysis SkillAnalyzes AI agent sessions using ACE (Agentic Context Engineering) framework.## PurposeEvaluate session quality and generate improvement suggestions for prompts, skills, and commands.## Triggers- `/ace-reflect` command- Session analysis requests- Prompt optimization tasks## Workflow### 1. Collect Session Data**Preferred:** `om-session` plugin tools```session-list → get recent sessionssession-read → get messages from session```**Fallback:** OpenCode CLI```bashopencode session list -n 10 --format json```**Last resort:** Direct context analysis (current conversation)### 2. Determine Analysis Mode| Mode | Flag | Scope || --------- | ------------- | ----------------------------------- || Default | (none) | Text analysis, 2-3 findings || Verbose | `--verbose` | Deeper analysis, more findings || Technical | `--technical` | Include IDs, timestamps, tool stats || Full | `--full` | Complete analysis with all metadata |### 3. Analyze Session ContentFocus on **patterns**, not individual mistakes:- Response quality (clarity, accuracy, completeness)- Tool usage efficiency (redundant calls, missing tools)- Context management (pruning, distillation)- Workflow adherence (approval gates, context loading)### 4. Score SessionUse scoring rubric from `references/scoring-rubric.md`:| Criterium | Weight | Focus || ------------ | ------ | ------------------------------------ || Completeness | 5 | All requested tasks completed || Accuracy | 5 | Correct solutions, no hallucinations || Efficiency | 5 | Minimal iterations, good tool usage || Clarity | 5 | Clear communication, good structure || Relevance | 5 | On-topic, no unnecessary tangents |**Max Score:** 25### 5. Generate ReportUse template from `references/report-template.md`:- Summary (1-2 sentences)- Scores table- Findings (patterns, not individual mistakes)- Suggestions (specific, actionable)- Decision (no changes / review / changes recommended)### 6. Return to OrchestratorReturn formal report for presentation to user.## References- `references/report-template.md` - Report structure- `references/scoring-rubric.md` - Detailed scoring criteria## Error Handling| Situation | Action || -------------------- | -------------------------------- || No session data | Analyze current context directly || Plugin unavailable | Use CLI fallback || Subagent spawn fails | Analyze in current context |## Configuration```yamlfeatures: ace: enabled: true max_subagent_depth: 2 auto_apply_suggestions: false```

Frequently asked questions

Ace Analysis