Utilities

Turns a project's full claude-mem timeline into a serial, chapter-per-ISO-week narrative built by a chained sequence of subagents.

A careful runbook for moving legacy NanoClaw and Claude-native memory into the shared memory/ tree with quarantine, reporting, and rollback.

Detects an existing OpenClaw install and walks you conversationally through moving identity, channel tokens, scheduled tasks and MCP config into NanoClaw v2's entity model.

Installs OneCLI and migrates your NanoClaw project's .env API credentials into the Agent Vault gateway.

Moves Claude Code's per-project memory into tool-agnostic reference docs so Codex (and other AI CLIs) can read your profile, then verifies it by actually running codex.

A meta-skill that scores SKILL.md files on a 9-dimension rubric and improves them through an edit → test → human-approval → keep-or-revert loop backed by git.

Exports the complete transcript of any claude.ai chat or share link — tool calls, attachments and all — into local Markdown with a lossless-render guarantee.

A read-only health check that audits your LazyCodex and Codex CLI install against the latest upstream sources and returns an evidence-backed PASS/WARN/FAIL report.

Pressure-tests any AI plan with six Chief AI Officer questions — evals, hallucination SLO, EU AI Act tier, build-vs-buy, cost curve, next hire — and returns a SHIP/SHARPEN/BLOCK verdict.

An operating spec that forces Claude to build, retrieve, and correct evidence-grounded local person profiles using only Distilly's exact five MCP tools.

A maintenance skill that detects, syncs, and cleans up drift between your local skill source repos and Claude Code's plugin cache.

Sets up isolated Claude Code CLI profiles so you can run Kimi, MiniMax, GLM, DeepSeek and Anthropic side by side in separate terminal windows.

Operating doctrine for using the `cass` CLI to search past agent session logs and return cited prior prompts, decisions, and failures.

A meta-skill that triages skill requests, forces a failing baseline before creation, and ships every new skill with regression evals.

An experimental harness skill that builds a six-step incident post-mortem to measure agent behavior across a context fork.

An experiment-harness skill that writes an incident post-mortem while sourcing a guidance skill inline, used to test whether nested skill calls derail the original task.

A wet-lab reference skill for choosing between SPR and BLI, troubleshooting binding signal problems, and validating kinetic data quality.