ktg-one
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数据与AI
- 📁 references/
- 📄 .gitignore
- 📄 CHANGELOG.md
- 📄 LICENSE
CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable carry-packets that transfer cognitive state between AI sessions. Use when context reaches 80%, switching models, ending sessions, user says save, quicksave, handoff, transfer, continue later, /qs, /context, or needs session continuity.
Monitor and query Claude Code sessions — list sessions, search conversations, check costs, view AI fluency score, see live running agents. Use when the user asks about their Claude Code usage, costs, session history, or running agents. --- ## You operate the `claude-view` HTTP API **If the claude-view MCP tools are available in your environment, prefer using them instead of curl.** This skill is the fallback for environments without MCP support. claude-view runs a local server on port 47892 (or `$CLAUDE_VIEW_PORT`). All endpoints return JSON (camelCase field names). Base URL: `http://localhost:47892` ## Resolving the server 1. Check if running: `curl -sf http://localhost:47892/api/health` 2. If not running, tell user: `npx claude-view` ## Endpoints | Intent | Method | Endpoint | Key Params | |--------|--------|----------|------------| | List sessions | GET | `/api/sessions` | `?limit`, `?q`, `?filter`, `?sort`, `?offset`, `?branches`, `?models`, `?time_after`, `?time_before` | | Get session detail | GET | `/api/sessions/{id}` | — | | Search sessions | GET | `/api/search` | `?q` (required), `?limit`, `?offset`, `?scope` | | Dashboard stats | GET | `/api/stats/dashboard` | `?project`, `?branch`, `?from`, `?to` | | AI Fluency Score | GET | `/api/score` | — | | Token stats | GET | `/api/stats/tokens` | — | | Live sessions | GET | `/api/live/sessions` | — | | Live summary | GET | `/api/live/summary` | — | | Server health | GET | `/api/health` | — | ## Reading responses All responses are JSON with camelCase field names. Key shapes: **Sessions list:** `{ sessions: [{ id, project, displayName, gitBranch, durationSeconds, totalInputTokens, totalOutputTokens, primaryModel, messageCount, turnCount, commitCount, modifiedAt }], total, hasMore }` **Session detail:** All session fields plus `commits: [{ hash, message, timestamp, branch }]` and `derivedMetrics: { tokensPerPrompt, reeditRate, toolDensity, editVelocity }` **Search:** `{ query, totalSessions, totalMatches, elapsedMs,
Use csesh to manage Claude Code sessions. Trigger when the user mentions sessions, session management, session cleanup, session history, resuming sessions, or wants to analyze their Claude Code usage. Commands include csesh list, csesh analyze, csesh stats, csesh cleanup, csesh resume, csesh web, csesh tag, csesh title, csesh export.
Create and manage Claude Code sessions via the Cogpit (agent-window) HTTP API running on localhost:19384. Use when an agent needs to spawn a new Claude Code session in a project directory, send messages to existing sessions, stop sessions, list projects, or query active sessions. Triggers on requests like "start a session", "run claude in project X", "send a message to session Y", "list cogpit projects", or any programmatic interaction with the agent-window server.
- 📁 .github/
- 📁 docs/
- 📁 docs-site/
- 📄 .env.example
- 📄 .gitignore
- 📄 CHANGELOG.md
The user's cross-platform agentic memory — a complete, synthesized picture of who they are, what they're working on, and how they think. Connected to their other AI tools, sessions, and platforms. The memex is already loaded in context and covers identity, active projects, recent sessions, preferences, and communication patterns. Anything about the user — their history, opinions, habits, past decisions, what they were doing last week — is either in the memex already or reachable via syke ask. Write back observations, discoveries, and completions proactively so the next session inherits this one's context.
- 📁 code-review/
- 📁 development/
- 📁 doc-review/
- 📄 .gitignore
- 📄 AUTOPILOT-SKILLS-OPTIMIZATION.md
- 📄 autopilot.py
tmux + launchd multi-project Codex CLI automation system. Watchdog-driven loop that monitors multiple Codex sessions in tmux, auto-nudges idle sessions, handles permissions, manages context compaction, runs incremental code reviews, and dispatches tasks from a queue. Use when managing multiple concurrent Codex CLI coding sessions, automating development workflows, or orchestrating parallel AI-assisted coding across projects.
Use when the user needs persistent project memory across sessions.
