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Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com/pi.dev (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/mitsuhiko/agent-stuff --skill pi-shareコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
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SKILL.md を表示中
SOC 職業分類に基づく
| name | pi-share |
| description | Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com/pi.dev (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history. |
Load and parse session transcripts from pi-share URLs (shittycodingagent.ai, buildwithpi.ai, buildwithpi.com, pi.dev).
Loading sessions: Use this skill when the user provides a URL like:
https://shittycodingagent.ai/session/?<gist_id>https://buildwithpi.ai/session/?<gist_id>https://buildwithpi.com/session/?<gist_id>https://pi.dev/session/?<gist_id>https://pi.dev/session/#<gist_id>46aee35206aefe99257bc5d5e60c6121#46aee35206aefe99257bc5d5e60c6121Human summaries: Use --human-summary when the user asks you to:
The human summary focuses on: initial goals, re-prompts, steering/corrections, interventions, and overall prompting style.
?session.html file with base64-encoded session data# Get full session data (default)
node ~/.pi/agent/skills/pi-share/fetch-session.mjs "<url-or-gist-id>"
# Get just the header
node ~/.pi/agent/skills/pi-share/fetch-session.mjs <gist-id> --header
# Get entries as JSON lines (one entry per line)
node ~/.pi/agent/skills/pi-share/fetch-session.mjs <gist-id> --entries
# Get the system prompt
node ~/.pi/agent/skills/pi-share/fetch-session.mjs <gist-id> --system
# Get tool definitions
node ~/.pi/agent/skills/pi-share/fetch-session.mjs <gist-id> --tools
# Get human-centric summary (what did the human do in this session?)
node ~/.pi/agent/skills/pi-share/fetch-session.mjs <gist-id> --human-summary
The --human-summary flag generates a ~300 word summary focused on the human's experience:
This uses claude-haiku-4-5 via pi -p to analyze the condensed session transcript.
The decoded session contains:
interface SessionData {
header: {
type: "session";
version: number;
id: string; // Session UUID
timestamp: string; // ISO timestamp
cwd: string; // Working directory
};
entries: SessionEntry[]; // Conversation entries (JSON lines format)
leafId: string | null; // Current branch leaf
systemPrompt?: string; // System prompt text
tools?: { name: string; description: string }[];
}
Entry types include:
message - User/assistant/toolResult messages with content blocksmodel_change - Model switchesthinking_level_change - Thinking mode changescompaction - Context compaction eventsMessage content block types:
text - Text contenttoolCall - Tool invocation with toolName and argsthinking - Model thinking contentimage - Embedded images# Pipe entries through jq to filter
node ~/.pi/agent/skills/pi-share/fetch-session.mjs "<url>" --entries | jq 'select(.type == "message" and .message.role == "user")'
# Count tool calls
node ~/.pi/agent/skills/pi-share/fetch-session.mjs "<url>" --entries | jq -s '[.[] | select(.type == "message") | .message.content[]? | select(.type == "toolCall")] | length'