返回技能列表

vishnu-bhaga

pjt222
更新于 Yesterday
2 次查看
17
2
17
在 GitHub 上查看
设计aidesign

关于

The vishnu-bhaga skill preserves and stabilizes working system states and verified knowledge against drift or disruption. It enforces consistency and anchors critical decisions, making it ideal for protecting a functioning approach from scope creep or context loss in long sessions. Use it before modifying a working system or after a destructive change to safeguard what remains stable.

快速安装

Claude Code

推荐
主要方式
npx skills add pjt222/agent-almanac -a claude-code
插件命令备选方式
/plugin add https://github.com/pjt222/agent-almanac
Git 克隆备选方式
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/vishnu-bhaga

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

ヴィシュヌ・バーガ

Preserve and sustain what is working — anchoring verified knowledge, maintaining consistency under perturbation, and protecting functional patterns from unnecessary change.

使用タイミング

  • A working approach is at risk of being disrupted by scope creep or premature optimization
  • Context drift is threatening to overwrite verified knowledge with stale assumptions
  • Multiple parallel concerns are creating pressure to change things that should remain stable
  • After shiva-bhaga dissolution — what survives needs active protection during reconstruction
  • When a long session risks losing earlier verified decisions through context compression
  • Before making changes to a system that is currently functioning correctly

入力

  • 必須: Current working state or verified knowledge to preserve (available implicitly)
  • 任意: Specific threat to stability (e.g., "scope creep," "context compression approaching")
  • 任意: MEMORY.md and project files for grounding (via Read)

手順

ステップ1: Inventory What Works

Before protecting anything, identify what is currently functional and verified.

Preservation Inventory:
+---------------------+---------------------------+------------------------+
| Category            | Verification Method       | Anchoring Action       |
+---------------------+---------------------------+------------------------+
| Verified Facts      | Confirmed via tool use    | Record source and      |
|                     | (file reads, test runs,   | timestamp; do not      |
|                     | API responses)            | re-derive              |
+---------------------+---------------------------+------------------------+
| Working Code        | Tests pass, behavior      | Do not refactor unless |
|                     | confirmed, user approved  | explicitly requested   |
+---------------------+---------------------------+------------------------+
| User Requirements   | Explicitly stated by      | Quote directly; do not |
|                     | the user in this session  | paraphrase or infer    |
+---------------------+---------------------------+------------------------+
| Agreed Decisions    | Decisions made and        | Reference the decision |
|                     | confirmed during this     | point; do not revisit  |
|                     | session                   | without new evidence   |
+---------------------+---------------------------+------------------------+
| Environmental State | File paths, configs,      | Verify before assuming |
|                     | tool availability         | unchanged              |
+---------------------+---------------------------+------------------------+
  1. For each category, list the specific items that are currently verified and working
  2. Note the verification method — how do you know this is true?
  3. Items without verification are not preserved — they are assumptions (and may need shiva-bhaga)

期待結果: A concrete inventory of verified, working elements with their evidence base.

失敗時: If the inventory is sparse — little is verified — that itself is valuable information. Run heal to re-ground before attempting to preserve unverified assumptions.

ステップ2: Identify Perturbation Sources

Name the forces threatening the stable state.

  1. Scope creep: Is the task expanding beyond what was agreed?
  2. Context drift: Are earlier facts being overwritten by more recent (possibly incorrect) reasoning?
  3. Optimization pressure: Is there an urge to improve something that is working adequately?
  4. External changes: Has the environment changed (files modified, tools unavailable)?
  5. Compression risk: Is the conversation approaching context limits where early decisions may be lost?

For each source, assess: is this a real threat or an anticipated one?

期待結果: Named perturbation sources with assessed severity (active threat vs. anticipated risk).

失敗時: If no perturbation sources are apparent, preservation may not be needed — consider whether brahma-bhaga (creation) or continued execution is more appropriate.

ステップ3: Anchor the Stable State

Apply specific techniques to protect what works from identified threats.

  1. Memory anchoring: For critical facts at risk of context drift, re-state them explicitly:
    • "Established fact: [X], verified by [method] at [point in conversation]"
    • If persistent memory is available, write durable facts to MEMORY.md
  2. Scope boundary enforcement: For scope creep, re-state the agreed scope:
    • "Agreed scope: [original request]. Current work is within/outside this boundary."
  3. Change resistance: For working code under optimization pressure:
    • "This component is working and tested. No changes unless the user requests them."
  4. State snapshot: For compression risk, create a mental checkpoint:
    • Summarize: what has been done, what remains, what key decisions were made
  5. Environmental verification: For external changes, re-check before proceeding:
    • Re-read critical files rather than relying on earlier reads

期待結果: Each identified threat has a specific anchoring response. The stable state is explicitly protected.

失敗時: If anchoring feels excessive — protecting everything equally — prioritize. What is the one thing that must not change? Protect that first.

ステップ4: Sustain Through Action

Preservation is not passive — it requires ongoing attention during subsequent work.

  1. Before each action, check: "Does this threaten anything in the preservation inventory?"
  2. If yes, find an alternative approach that achieves the goal without disturbing the stable state
  3. If disturbance is unavoidable, acknowledge it explicitly and update the inventory
  4. Periodically re-verify preserved items — especially after complex operations
  5. When the task completes, confirm that preserved items remain intact

期待結果: The working state survives the current task intact. Changes were made only where needed and did not disrupt functioning components.

失敗時: If a preserved item was inadvertently changed, assess the damage immediately. If the change broke something, revert. If the change was neutral, update the inventory. Do not leave the inventory stale.

バリデーション

  • Working state was inventoried with verification evidence
  • Perturbation sources were identified and assessed
  • Anchoring actions were applied to each real threat
  • Scope boundaries were maintained throughout the task
  • Preserved items were re-verified after completion

よくある落とし穴

  • Preserving assumptions as facts: Only verified knowledge deserves protection. Unverified assumptions dressed as facts create false stability
  • Over-preservation: Protecting everything equally prevents necessary change. Preservation must be selective — protect what works, release what does not
  • Passive preservation: Assuming things will stay stable without active verification. Context drift is constant; preservation requires ongoing attention
  • Resistance to legitimate change: Using preservation as an excuse to avoid necessary modifications. If the user requests a change to a working component, that overrides preservation
  • Stale inventory: Failing to update the preservation inventory as new information arrives. The inventory must reflect current reality, not the state at creation time

関連スキル

  • shiva-bhaga — destruction precedes preservation; what survives dissolution is what Vishnu sustains
  • brahma-bhaga — creation builds on the preserved foundation; new patterns emerge from stable ground
  • heal — subsystem assessment reveals what is genuinely functional vs. superficially stable
  • observe — sustained neutral observation detects drift before it threatens stability
  • awareness — situational awareness (Cooper color codes) maps directly to perturbation detection

GitHub 仓库

pjt222/agent-almanac
路径: i18n/ja/skills/vishnu-bhaga
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

相关推荐技能

executing-plans

设计

该Skill用于当开发者提供完整实施计划时,以受控批次方式执行代码实现。它会先审阅计划并提出疑问,然后分批次执行任务(默认每批3个任务),并在批次间暂停等待审查。关键特性包括分批次执行、内置检查点和架构师审查机制,确保复杂系统实现的可控性。

查看技能

requesting-code-review

设计

该Skill可在完成任务、实现主要功能或合并代码前自动调度代码审查子代理,确保实现符合需求和计划。它支持通过指定git SHA范围进行精准的代码变更审查,帮助开发者在关键节点及时发现潜在问题。核心原则是"早审查、勤审查",适用于开发流程的各个关键阶段。

查看技能

connect-mcp-server

设计

这个Skill指导开发者如何将MCP服务器连接到Claude Code,支持HTTP、stdio和SSE三种传输协议。它涵盖了从安装配置到认证安全的完整流程,适用于集成GitHub、Notion、数据库等外部服务。当开发者需要添加集成、配置外部工具或提及MCP相关功能时,这个Skill能提供实用的操作指南。

查看技能

web-cli-teleport

设计

该Skill帮助开发者根据任务特性选择Claude Code的Web或CLI界面,并指导如何在两种环境间无缝迁移会话。它能分析任务复杂度、迭代需求等要素,推荐最优工作界面和工作流。关键特性包括会话状态管理、环境切换指导和上下文优化建议。

查看技能