pi-share

Original：🇺🇸 English

Translated

1 scripts

Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.

2installs

Sourcemitsuhiko/agent-stuff

Added on2026-02-18

NPX Install

npx skill4agent add mitsuhiko/agent-stuff pi-share

SKILL.md Content

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pi-share / buildwithpi Session Loader

Load and parse session transcripts from pi-share URLs (shittycodingagent.ai, buildwithpi.ai, buildwithpi.com).

When to Use

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>

Or just a gist ID like
```
46aee35206aefe99257bc5d5e60c6121
```

Human summaries: Use

--human-summary

when the user asks you to:

Summarize what a human did in a pi/coding agent session
Understand how a user interacted with an agent
Analyze user behavior, steering patterns, or prompting style
Get a human-centric view of a session (not what the agent did, but what the human did)

The human summary focuses on: initial goals, re-prompts, steering/corrections, interventions, and overall prompting style.

How It Works

Session exports are stored as GitHub Gists
The URL contains a gist ID after the
```
?
```
The gist contains a
```
session.html
```
file with base64-encoded session data
The helper script fetches and decodes this to extract the full conversation

Usage

bash

# 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

Human Summary

The

--human-summary

flag generates a ~300 word summary focused on the human's experience:

What was their initial goal?
How often did they re-prompt or steer the agent?
What kind of interventions did they make? (corrections, clarifications, frustration)
How specific or vague were their instructions?

This uses claude-haiku-4-5 via

pi -p

to analyze the condensed session transcript.

Session Data Structure

The decoded session contains:

typescript

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 blocks
```
model_change
```
- Model switches
```
thinking_level_change
```
- Thinking mode changes
```
compaction
```
- Context compaction events

Message content block types:

```
text
```
- Text content
```
toolCall
```
- Tool invocation with
```
toolName
```
and
```
args
```
```
thinking
```
- Model thinking content
```
image
```
- Embedded images

Example: Analyze a Session