agent-context-card
Long-session context projection to reduce token consumption
Install & Use
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Help me install this AI Skill: agent-context-card. It is used for: Long-session context projection to reduce token consumption Full Skill content: https://321skill.com/skills/agent-context-card/raw/index.md Read that page and install it.
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This Skill addresses the issue of context bloat in AI coding agents during long sessions. As a session progresses, large amounts of old searches, file reads, tool outputs, and completed work are repeatedly sent to the model, causing a surge in input tokens and potentially triggering lossy compression, which degrades the quality of subsequent tasks. The agent-context-card automatically preserves currently useful evidence and retires completed context based on deterministic rules, preventing irrelevant tasks from inheriting historical baggage.
Usage is simple: just install the extension in your Pi environment: pi install npm:agent-context-card. No configuration is needed; it works automatically. When you start a new task, it creates a context card that precisely records the current task, the latest request, and the fixed plan. Upon task completion, old directory searches, repeated tool calls, previous versions of edited files, etc., are automatically cleaned up. For cross-session continuity, you can pass a precise task ID (e.g., JIRA-123), and it will automatically restore the previous plan and execution facts.
It is ideal for agent developers, backend engineers, and full-stack developers who engage in long coding sessions, especially those frequently handling complex refactoring, multi-round debugging, or needing to switch between multiple tasks. It directly reduces API call costs while maintaining the model's accurate understanding of key context. Early tests show a 58.3% reduction in input tokens in Gemma A/B runs, a 25% decrease in tool calls, and zero tool errors.
It is recommended to define a task ID before starting a new task for optimal cross-session continuity. Note that it currently only supports the Pi platform and requires npm or git for installation. If you use other coding agent platforms, you'll need to wait for official adaptation. Additionally, while the attack surface for cross-session storage is small, sensitive data is still recommended to be manually cleaned from the .agent-context-card/tasks/ directory.
Key Features
Unlike common summarization compression or semantic memory approaches, agent-context-card requires no additional model calls. It performs context projection entirely through deterministic rules, preserving exact evidence (e.g., file read content) as-is, rather than relying on model summarization.
Limitations
Currently only supports the Pi platform, requires npm or git installation, and cross-session continuity is only enabled via precise task IDs (e.g., JIRA-123), with no automatic cross-session support.
FAQ
How do I install agent-context-card?
Run in the Pi terminal: `pi install npm:agent-context-card` or install from GitHub: `pi install git:github.com/chkrishna2001/Agent-Context-Card`
How is it different from manually cleaning the context?
Manual cleanup requires the developer to judge what to keep, which can lead to omissions or accidental deletions. In contrast, agent-context-card automatically retires content based on lifecycle events without needing extra model calls, making it more precise and reliable.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-context-card/raw/index.md to read the original Skill definition (Markdown format) for agent-context-card, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-context-card/raw/index.md