據 AlphaMoat 統計,截至 2026-09,Context Anchor 累計下載 4,538 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,118 位,在「AI 智慧體」分類(969 個)中排名第 399 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 150 | 4538 | 4 | - |
| SkillHub ↗ | 187 | 4496 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
主文介紹它會檢視當前任務記錄、近期日誌和活動上下文檔案,並整理當前任務、已作決定、未解決問題等摘要。掃描範圍和回溯天數可配置;摘要依賴使用者環境中已有的記憶檔案和日誌。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4538 | — | 4 |
| 2026-08 | 4373 | +3.9% | 4 |
| 2026-07 | 4207 | +7.4% | 4 |
| 2026-06 | 3918 | +4.8% | 4 |
| 2026-05 | 3739 | — | 4 |
| 2026-03 | 3057 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: context-anchor version: 1.0.0 description: Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing. --- # Context Anchor Skill Helps agents recover context after compaction by scanning memory files and generating a "here's where you are" briefing.
## Why This Exists
Context compaction loses memory. Files survive. But after waking up fresh, you need to:
1. Know what you were working on
2. See decisions that were made
3. Find open loops that need closing
4. Get oriented fast
This skill automates that recovery.
---
## Quick Start
```bash
# Full briefing (default)
./scripts/anchor.sh
# Just show current task
./scripts/anchor.sh --task
# Just show active context files
./scripts/anchor.sh --active
# Just show recent decisions
./scripts/anchor.sh --decisions
# Show open loops / questions
./scripts/anchor.sh --loops
# Scan specific number of days back
./scripts/anchor.sh --days 3
```
---
## What It Scans
| Source | What It Extracts |
|--------|------------------|
| `memory/current-task.md` | Current task status, blockers, next steps |
| `memory/YYYY-MM-DD.md` | Recent daily logs (last 2 days by default) |
| `context/active/*.md` | In-progress task files |
| Daily logs | Decisions (lines with "Decision:", "Decided:", "✅") |
| Daily logs | Open loops (lines with "?", "TODO:", "Blocker:", "Need to") |
---
## Output Format
The script outputs a structured briefing:
```
═══════════════════════════════════════════════════════════
CONTEXT ANCHOR
Where You Left Off
═══════════════════════════════════════════════════════════
📋 CURRENT TASK
───────────────────────────────────────────────────────────
[Contents of memory/current-task.md or "No current task set"]
📂 ACTIVE CONTEXT FILES
───────────────────────────────────────────────────────────
• context/active/project-name.md (updated 2h ago)
└─ First line preview...
🎯 RECENT DECISIONS (last 2 days)
───────────────────────────────────────────────────────────
[2026-01-30] Decision: Use Cloudflare Pages for hosting
[2026-01-30] ✅ Completed email capture setup
❓ OPEN LOOPS
───────────────────────────────────────────────────────────
[2026-01-30] Need to enable SFTP on NAS
[2026-01-30] TODO: Create Product Hunt account
═══════════════════════════════════════════════════════════
```
---
## Integration with AGENTS.md
Add to your "Every Session" routine:
```markdown
## Every Session
Before doing anything else:
1. Run `./skills/context-anchor/scripts/anchor.sh` for orientation
2. Read `SOUL.md` — this is who you are
3. Read `USER.md` — this is who you're helping
...
```
Or use it manually when you feel lost about context.
---
## Customization
### Change workspace root
```bash
WORKSPACE=/path/to/workspace ./scripts/anchor.sh
```
### Change days to scan
```bash
./scripts/anchor.sh --days 5 # Scan 5 days back
```
---
## No Dependencies
Pure bash. Uses only:
- `find`, `grep`, `head`, `tail`, `date`, `stat`
- Works on macOS and Linux
- No external tools required
---
## When to Use
- **Session start**: Quick orientation on what's happening
- **After compaction**: Recover lost context
- **Feeling lost**: "Wait, what was I doing?"
- **Handoff**: Show another agent where things stand
- **Daily review**: See what decisions were made
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。