Skip to content
FunCoding

Search

Search docs, Skills and MCP

deepchat-data-import

Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs to work with DeepChat provider configuration, model configuration, MCP/app settings, sessions, messages, legacy chat data, `agent.db`, `chat.db`, SQLCipher encrypted SQLite, Electron safeStorage wrapped passwords, Tauri importers, or native macOS/Windows/Linux data access.

数据库与数据6.4k.agents/skills/deepchat-data-import/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/thinkinaixyz/deepchat/deepchat-data-import/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

DeepChat Data Import

Overview

Use this skill to design or implement importers for DeepChat local data. Treat DeepChat's SQLite schema as an internal but documentable contract: inspect the current schema when precision matters, prefer read-only snapshots, and avoid writing to a live profile.

Workflow

  1. Identify the source: live DeepChat profile, copied profile, sync backup, exported agent.db, or legacy chat.db.
  2. Read references/data-locations.md to locate agent.db, sidecar files, encryption metadata, and backup paths.
  3. Read references/sqlite-access.md before opening SQLite. Decide whether the database is unencrypted, can be unlocked through Electron safeStorage, or must ask the user for the SQLite password.
  4. Read references/schema-reference.md for provider config, settings, session, message, and legacy table relationships.
  5. Read references/import-recipes.md when writing extractor code, mapping DeepChat data to another app, or creating a compatibility import.

Safety Rules

  • Get explicit user consent before reading local DeepChat data. Provider keys, OAuth tokens, MCP env vars, prompt text, message traces, and chat content may be sensitive.
  • Never open the active agent.db read-write from a third-party tool. Copy agent.db, agent.db-wal, and agent.db-shm, or use SQLite backup APIs through DeepChat itself.
  • If DeepChat is running, either ask the user to quit it or make a WAL-aware snapshot before import.
  • Prefer parameterized key APIs for SQLCipher passwords. Do not interpolate passwords into SQL.
  • Redact secrets by default in logs, telemetry, previews, and generated sample output.
  • When the schema has changed, inspect schema_versions, sqlite_master, and the table classes under src/main/presenter/sqlitePresenter/tables/ before assuming column availability.

Source Files

Use these repository files as the current source of truth when updating the skill or answering version-sensitive questions:

  • src/main/presenter/sqlitePresenter/index.ts
  • src/main/presenter/sqlitePresenter/connectionConfig.ts
  • src/main/presenter/databaseSecurityPresenter/index.ts
  • src/main/presenter/sqlitePresenter/tables/*.ts
  • src/main/presenter/agentRuntimePresenter/messageStore.ts
  • src/main/presenter/agentRuntimePresenter/sessionStore.ts
  • src/main/presenter/configPresenter/**

Similar Skills

xlsx
anthropics/skills180k

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Databases & data

deprecation-and-migration
addyosmani/agent-skills103k

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

Databases & data

host-observer
thedotmack/claude-mem98k

host-observer

Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.

Databases & data

babysit
thedotmack/claude-mem98k

babysit

Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.

Databases & data

mem-search
thedotmack/claude-mem98k

mem-search

Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.

Databases & data

Agent Cost Report
thedotmack/claude-mem98k

Agent Cost Report

Believable agent cost report for any period, default the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED), measured provider spend when a sanctioned source exists, note-taker cost separate, Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.

Databases & data