session-discovery

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Atualizado10 de março de 2026 às 19:19

Discovers Claude Code conversation sessions on the local machine within a date range. Returns a structured manifest of sessions with metadata. Use when a skill or agent needs to find prior conversations — e.g., session-review gathering evidence, progress-review windowing, or startwork checking recent activity. Not user-facing; designed as infrastructure for other skills.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Fonte

hartphoenix

hartphoenix/weft

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Outras ocupações de informáticaInformática e Matemática·SOC 15-1299

SKILL.md

readonly

name	session-discovery
description	Discovers Claude Code conversation sessions on the local machine within a date range. Returns a structured manifest of sessions with metadata. Use when a skill or agent needs to find prior conversations — e.g., session-review gathering evidence, progress-review windowing, or startwork checking recent activity. Not user-facing; designed as infrastructure for other skills.

Session Discovery

Utility skill that finds Claude Code conversation sessions stored on the local machine. Runs a bun script and returns a JSON manifest.

How to invoke

Run the discovery script from the harness root:

bun "$(cat ~/.config/weft/root)/scripts/session-discovery.ts" [flags]

Flags

Flag	Default	Description
`--since YYYY-MM-DD`	today	Start of date window
`--until YYYY-MM-DD`	today	End of date window
`--project <substring>`	(all)	Filter by project path substring

Examples

SCRIPT="$(cat ~/.config/weft/root)/scripts/session-discovery.ts"

# Today's sessions
bun "$SCRIPT"

# Sessions since last review
bun "$SCRIPT" --since 2026-02-25

# Only sessions in the roger project
bun "$SCRIPT" --project roger

# Two-day window, specific project
bun "$SCRIPT" --since 2026-02-27 --until 2026-02-28 --project weft-dev

Output format

JSON to stdout. Diagnostics to stderr.

{
  "meta": {
    "claudeDir": "/Users/name/.claude",
    "since": "2026-02-28",
    "until": "2026-02-28",
    "filesScanned": 258,
    "sessionsMatched": 6,
    "errors": []
  },
  "sessions": [
    {
      "sessionId": "uuid",
      "project": "/Users/name/code/project",
      "projectEncoded": "-Users-name-code-project",
      "filePath": "/Users/name/.claude/projects/.../uuid.jsonl",
      "start": "2026-02-28T00:21:36.816Z",
      "end": "2026-02-28T01:56:48.087Z",
      "messageCount": 178,
      "userMessageCount": 59,
      "firstPrompt": "first 120 chars of first real user message...",
      "gitBranch": "feature-branch",
      "schemaVersion": "2.1.59"
    }
  ]
}

How consuming skills should use the manifest

1. Run the script, parse the output

bun "$(cat ~/.config/weft/root)/scripts/session-discovery.ts" --since <last-review-date> 2>/dev/null

Parse the JSON from stdout. The meta object tells you how many sessions were found and whether errors occurred.

2. Decide what to read

The manifest gives you file paths and message counts. Use this to decide whether to analyze inline or delegate to sub-agents (per the context management gate in session-review).

Small window (1-2 sessions, < 200 total messages): read the JSONL files directly
Large window (3+ sessions, or > 500 messages): dispatch sub-agents with specific file paths from the manifest

3. Read session content

Each filePath is a JSONL file. Each line is a JSON object. The relevant message types:

`type`	Contains
`user`	User messages. `message.content` is a string or array of `{type, text}` blocks.
`assistant`	Agent responses. `message.content` is an array of text and tool_use blocks.
`queue-operation`	Session lifecycle (enqueue/dequeue). Has `timestamp` but no content.
`progress`	Streaming progress. Skip for analysis.
`file-history-snapshot`	File state snapshots. Skip for analysis.

Filter to user and assistant types for conversation analysis.

4. Filter noise from user messages

User message content often starts with IDE-injected metadata. Skip blocks matching these patterns:

<ide_opened_file>...
<system-reminder>...
<command-message>...
<command-name>...
<local-command...

Resilience notes

CLAUDE_CONFIG_DIR: The script checks this environment variable first. If set, it uses that path instead of ~/.claude/. Most users won't have this set.

Path encoding: The / → - encoding for project directories is undocumented and could change. The script doesn't depend on decoding being perfect — it just needs to find JSONL files under projects/. The decoded project field is best-effort for display.

Schema changes: The JSONL format is internal to Claude Code and undocumented. The script reads timestamp and type fields. If these change, the script will return empty results (not crash). The schemaVersion field in each session lets consumers detect version mismatches.

30-day retention: Claude Code may delete sessions older than 30 days. The script can only find what's on disk.

Cross-midnight sessions: The script uses interval overlap logic, not simple date matching. A session starting at 23:00 on day N and ending at 01:00 on day N+1 will match queries for either day.

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name	session-discovery
description	Discovers Claude Code conversation sessions on the local machine within a date range. Returns a structured manifest of sessions with metadata. Use when a skill or agent needs to find prior conversations — e.g., session-review gathering evidence, progress-review windowing, or startwork checking recent activity. Not user-facing; designed as infrastructure for other skills.

Session Discovery

Utility skill that finds Claude Code conversation sessions stored on the local machine. Runs a bun script and returns a JSON manifest.

How to invoke

Run the discovery script from the harness root:

bun "$(cat ~/.config/weft/root)/scripts/session-discovery.ts" [flags]

Flags

Flag	Default	Description
`--since YYYY-MM-DD`	today	Start of date window
`--until YYYY-MM-DD`	today	End of date window
`--project <substring>`	(all)	Filter by project path substring

Examples

SCRIPT="$(cat ~/.config/weft/root)/scripts/session-discovery.ts"

# Today's sessions
bun "$SCRIPT"

# Sessions since last review
bun "$SCRIPT" --since 2026-02-25

# Only sessions in the roger project
bun "$SCRIPT" --project roger

# Two-day window, specific project
bun "$SCRIPT" --since 2026-02-27 --until 2026-02-28 --project weft-dev

Output format

JSON to stdout. Diagnostics to stderr.

{
  "meta": {
    "claudeDir": "/Users/name/.claude",
    "since": "2026-02-28",
    "until": "2026-02-28",
    "filesScanned": 258,
    "sessionsMatched": 6,
    "errors": []
  },
  "sessions": [
    {
      "sessionId": "uuid",
      "project": "/Users/name/code/project",
      "projectEncoded": "-Users-name-code-project",
      "filePath": "/Users/name/.claude/projects/.../uuid.jsonl",
      "start": "2026-02-28T00:21:36.816Z",
      "end": "2026-02-28T01:56:48.087Z",
      "messageCount": 178,
      "userMessageCount": 59,
      "firstPrompt": "first 120 chars of first real user message...",
      "gitBranch": "feature-branch",
      "schemaVersion": "2.1.59"
    }
  ]
}

How consuming skills should use the manifest

1. Run the script, parse the output

bun "$(cat ~/.config/weft/root)/scripts/session-discovery.ts" --since <last-review-date> 2>/dev/null

Parse the JSON from stdout. The meta object tells you how many sessions were found and whether errors occurred.

2. Decide what to read

The manifest gives you file paths and message counts. Use this to decide whether to analyze inline or delegate to sub-agents (per the context management gate in session-review).

Small window (1-2 sessions, < 200 total messages): read the JSONL files directly
Large window (3+ sessions, or > 500 messages): dispatch sub-agents with specific file paths from the manifest

3. Read session content

Each filePath is a JSONL file. Each line is a JSON object. The relevant message types:

`type`	Contains
`user`	User messages. `message.content` is a string or array of `{type, text}` blocks.
`assistant`	Agent responses. `message.content` is an array of text and tool_use blocks.
`queue-operation`	Session lifecycle (enqueue/dequeue). Has `timestamp` but no content.
`progress`	Streaming progress. Skip for analysis.
`file-history-snapshot`	File state snapshots. Skip for analysis.

Filter to user and assistant types for conversation analysis.

4. Filter noise from user messages

User message content often starts with IDE-injected metadata. Skip blocks matching these patterns:

<ide_opened_file>...
<system-reminder>...
<command-message>...
<command-name>...
<local-command...

Resilience notes

CLAUDE_CONFIG_DIR: The script checks this environment variable first. If set, it uses that path instead of ~/.claude/. Most users won't have this set.

30-day retention: Claude Code may delete sessions older than 30 days. The script can only find what's on disk.

Cross-midnight sessions: The script uses interval overlap logic, not simple date matching. A session starting at 23:00 on day N and ending at 01:00 on day N+1 will match queries for either day.