Agent同步
- 作者仓库星标 0
- 作者更新于 实时读取
- 作者仓库 skills-registry
- 领域
- AI 智能
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @tomevault-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: import-host
description: Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules…
category: AI 智能
runtime: 无特殊运行时
---
# import-host 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Steps / 1. Detect candidates / 2. Categorize each file”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Steps / 1. Detect candidates / 2. Categorize each file”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/second-brain` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Steps / 1. Detect candidates / 2. Categorize each file”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: import-host
description: Detect existing AI-context files on the host (CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules…
category: AI 智能
source: tomevault-io/skills-registry
---
# import-host
## 什么时候使用
- 把「导入」相关任务沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Steps / 1. Detect candidates / 2. Categorize each file」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "import-host" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Steps / 1. Detect candidates / 2. Categorize each file
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Import host
Bootstrap the v1.0 hot tier (USER.md + PROJECT.md) from AI-context files you've already written for Claude Code, Aider, Cursor, Continue, Windsurf, or AGENTS.md (the OpenCode/agent-rules standard). The skill is read-only against your host files and explicit-confirm against second-brain writes.
Steps
1. Detect candidates
Walk known locations and report what exists. Search at two scopes: home ($HOME) and the current repo root (the directory containing .git, walking up from cwd).
declare -a CANDIDATES=(
"$HOME/CLAUDE.md"
"$HOME/AGENTS.md"
"$HOME/.cursorrules"
"$HOME/.windsurfrules"
"$HOME/.continuerules"
"$HOME/.aider.conf.yml"
"$HOME/.claude/CLAUDE.md"
"$HOME/.claude/instructions.md"
)
GIT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
if [ -n "$GIT_ROOT" ]; then
for f in CLAUDE.md AGENTS.md .cursorrules .windsurfrules .continuerules .aider.conf.yml instructions.md; do
[ -f "$GIT_ROOT/$f" ] && CANDIDATES+=("$GIT_ROOT/$f")
done
fi
for c in "${CANDIDATES[@]}"; do
if [ -f "$c" ]; then
LINES=$(wc -l < "$c" | tr -d ' ')
printf ' %s (%s lines)\n' "$c" "$LINES"
fi
done
Report the matched list to the user. If nothing matches, exit with: "No host AI-context files found — run /second-brain:setup to scaffold from scratch."
2. Categorize each file
For each detected file, read the first ~60 lines. Decide whether the content is primarily:
- User-level preferences — global how-to-behave rules (tone, style, "never do X", language preferences, formatting defaults). Targets
USER.md. - Project-level facts — repo-specific Goal, State, Conventions, decisions, blockers. Targets the active repo's
PROJECT.md. - Mixed — recommend splitting; propose a USER.md slice and a PROJECT.md slice.
Files at $HOME are usually user-level. Files at $GIT_ROOT are usually project-level. The first ~60-line read confirms.
Report the categorisation to the user before any writes.
3. Propose USER.md content
For files (or slices) categorized as user-level:
- Distill the content into ≤15 short bullet lines of cross-project preferences. Drop verbose prose, repo-specific facts, and anything stale.
- Show the proposed USER.md content as a single block.
- Prompt:
Append these <N> preferences to USER.md? (Y / N / edit) - On
Y: for each preference, callpin_to_user(text: "<preference>"). The MCP tool enforces a 15-line cap on USER.md and adds a dated- [YYYY-MM-DD] …entry; on overflow it returns{ok: false}and the skill must surface the rejection. - On
edit: let the user revise the block, then re-prompt. - On
N: skip.
If ~/.second-brain/USER.md does not exist yet, the first pin_to_user call will create it with the standard header.
4. Propose PROJECT.md content
For files (or slices) categorized as project-level, resolve the active project slug:
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
If ~/.second-brain/projects/$SLUG/PROJECT.md does not exist, instruct the user to run /second-brain:setup first — this skill fills in content but does not scaffold the file.
If it exists, propose section-by-section:
- Goal (≤3 lines): show your distilled draft and prompt
Replace existing Goal? (Y/N/edit). Apply viaEdittool — replace the body of the## Goalsection only. - Conventions (≤5 lines): same flow, target
## Conventions. - Recent decisions (≤3 entries): for each, prompt and call
pin_to_project(text: "<decision text>", slug: "$SLUG", section: "decisions")on accept. The tool prefixes- [decision]automatically. - Open blockers (≤15 lines): for each, prompt and call
pin_to_project(text: "<blocker text>", slug: "$SLUG", section: "blockers")on accept. The tool prefixes- [active]automatically.
Skip ## State and ## Cross-references — those are runtime-maintained, not import targets.
5. Skip duplicates
Before each pin_to_user or pin_to_project proposal, grep the destination file for the candidate text. If a fuzzy match exists, prompt: <text> already present (or close); skip / replace? and act accordingly.
6. Done
Report a one-block summary:
# Import summary
- USER.md: 4 preferences appended (skipped 1 duplicate)
- PROJECT.md (my-repo):
- Goal updated
- Conventions updated
- 2 [active] blockers added
- 1 [decision] decision added
- Source files left untouched.
Suggest follow-ups: /second-brain:lint (catch any orphan or dead references introduced by the import) and /second-brain:status (sanity-check hot-tier byte counts stay under cap).
Notes
- This is a bootstrap skill — it is most useful right after
/second-brain:setup. Re-running it later is safe but will mostly hit the duplicate-skip path. - The skill never deletes or modifies your host files (
~/CLAUDE.md,.cursorrules, etc.). They stay where they are. - All writes go through the v1.0 MCP tools (
pin_to_user,pin_to_project) or directEdits onPROJECT.md. There is no critic-gate, no persona/quality-rules file, noarchive_to_wikiinvocation here — those are explicit user actions handled by/second-brain:improve. - Hot-tier cap reminder: USER.md ≤ 15 lines (enforced by
pin_to_user); USER.md + PROJECT.md combined ~3200 bytes target. If a proposed import would push over, distill harder before re-trying.
Source: Cain-Ish/claude-code-plugin — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核