用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill context-save命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据,按主题分组汇总"我都做了什么",并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
基于 SOC 职业分类
正在显示 SKILL.md
| name | context-save |
| description | Save decision, bet, or learning to the context registry |
| argument-hint | ["decision-record | strategic-bet | learning"] |
Save a decision record, strategic bet, or learning to the persistent context registry.
Phase 6: Learning & Adaptation - This skill persists organizational knowledge for future use.
Prerequisites: Decision record, strategic bet, or learning created Outputs used by: All phases (enables organizational memory)
Before saving, ensure the context folder structure exists. If any required folder or file is missing, create it:
Check if context/ folder exists - if not, inform user to run /setup first OR create the basic structure:
context/decisions/index.mdcontext/bets/index.mdcontext/assumptions/registry.mdcontext/portfolio/active-bets.mdcontext/learnings/index.mdWhen creating year folders (context/decisions/2026/), create them automatically.
The context registry provides organizational memory. This skill extracts key information from documents and saves them to the appropriate index, enabling future recall and cross-referencing.
Invoke /context-save after:
/decision-record/strategic-bet/retrospective/outcome-review/decision-quality-auditAsk the user what they want to save:
context/decisions/context/bets/ and context/portfolio/context/learnings/context/assumptions/registry.mdExtract and save:
| ID | Title | Date | Owner | Product | Status | Tags |
Extract and save:
| ID | Title | Date | Owner | Product | Status | Key Assumption |
context/portfolio/active-bets.md if status is Activecontext/assumptions/registry.mdExtract and save:
| ID | Learning | Source | Date | Product | Tags | Confidence |
Extract and save:
| ID | Assumption | Source | Confidence | Validation Method | Status | Outcome |
For decisions and bets, also save the full record:
context/[type]/[YYYY]/[ID].mdAlso update context/index.json for fast retrieval:
context/index.jsonentries array:
{
"id": "DR-2026-001",
"title": "API Versioning Strategy",
"type": "decision",
"path": "context/decisions/2026/DR-2026-001.md",
"topics": ["api", "versioning", "compatibility"],
"phase": "phase2",
"created": "2026-01-25",
"lastAccessed": "2026-01-25"
}
topicIndex - add ID to each topic arraytypeIndex - add ID to the type array (decision, bet, learning)phaseIndex - add ID to the appropriate phase arraylastUpdated timestampTopic extraction:
Report what was saved:
Saved to context registry:
- Decision DR-2026-001 added to decisions/index.md
- 3 assumptions extracted to assumptions/registry.md
- Full record saved to decisions/2026/DR-2026-001.md
- JSON index updated (topics: api, versioning, compatibility)
DR-[YYYY]-[NNN] (e.g., DR-2026-001)SB-[YYYY]-[NNN] (e.g., SB-2026-003)A-[NNN] (e.g., A-015) - sequential across all assumptionsL-[NNN] (e.g., L-042) - sequential across all learningsCheck existing indexes to determine next available number.