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ace-analysis

Analyzes sessions using ACE framework to generate prompt improvement suggestions focused on durable patterns.

معلومات المصدر

المستودع
digi4care/opencode-mastery
آخر نشاط في المصدر
٢١ فبراير ٢٠٢٦ في ٠٩:٥٥
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٠
التفرعات
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خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
3 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
ace-analysis
description
Analyzes sessions using ACE framework to generate prompt improvement suggestions focused on durable patterns.
license
MIT
compatibility
opencode
metadata
{"author":"OpenCode Community","version":"1.0.0"}
# 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 ```bash 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 ```yaml features: ace: enabled: true max_subagent_depth: 2 auto_apply_suggestions: false ```
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