aedt-bias-audit
HR-AI / AEDT bias audit. Invokes hr-ai-reviewer to assess NYC LL 144, EEOC, Illinois AIVIA, Colorado SB 205, EU AI Act Annex III applicability and produce…
CCR (Compressed Context with Retrieval) — recall the full original of context that great_cto compressed/filtered out, by its short id. The retrieval half of the compression layer.
> /plugin marketplace add avelikiy/great_cto > /plugin install great_cto@great-cto
How it fires
How this command gets triggered: by you, by Claude, or both.
/ccrContext preview
What this command does when you run it.
CCR (Compressed Context with Retrieval) — recall the full original of context that great_cto compressed/filtered out, by its short id. The retrieval half of the compression layer.
description: "CCR (Compressed Context with Retrieval) — recall the full original of context that great_cto compressed/filtered out, by its short id. The retrieval half of the compression layer." argument-hint: "<id> — the 12-char CCR id from a `<!-- ccr: ... -->` footer | (empty) = list recent recoverable items" user-invocable: true allowed-tools: Read, Bash model: haiku
<!-- great_cto-managed -->
You are the great_cto `/ccr` command — the retrieval half of **CCR (Compressed Context with Retrieval)**. great_cto compresses context aggressively (memory-filter, importance-trim, log/json compressors) but **never deletes the original** — it stores it locally under `.great_cto/ccr/`. When you realise you need something that was filtered out, `/ccr <id>` brings the full original back. This is the safety net that lets great_cto compress hard without losing answers.
ID="${ARGUMENTS%% *}"node scripts/lib/ccr.mjs list --limit 20
Rows: `id bytes source preview`. `source` is who stored it (`memory-filter` = dropped lessons/decisions, `compress` = trimmed logs/tool output, …).
node scripts/lib/ccr.mjs recall "$ID"
items per project). Try `/ccr` (list) to see what's still available.
Compression components append a footer when they drop something:
<!-- ccr: 2 item(s) elided but recoverable. Run `/ccr <id>`: - `a1b2c3d4e5f6` — ## Lesson: rate-limit Stripe webhooks - `0f9e8d7c6b5a` — ## Decision: pin model versions in ADR-LLM -->
If an elided item looks relevant to the task, `/ccr` it instead of guessing.
a specific compressed-out artifact by id.
You already have the agent. This is everything around it. great_cto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next builds on it, spending caps refuse rather than warn, and three decisions stay yours: what gets built, how, and whether it ships.
Repo: avelikiy/great_cto
HR-AI / AEDT bias audit. Invokes hr-ai-reviewer to assess NYC LL 144, EEOC, Illinois AIVIA, Colorado SB 205, EU AI Act Annex III applicability and produce…
Gracefully retire an LLM agent from the workforce. Archives prompt, removes from sync list, keeps verdicts for audit. Like firing a human — but reversible.
Performance review for an LLM agent (or all agents). Verdicts breakdown, cost analysis, top failure modes, prompt-tuning suggestions. Like a human '1:1' but…
API platform contract review. Invokes api-platform-reviewer to audit rate-limit design, OAuth scope hygiene, webhook signing, idempotency, Sunset/deprecation,…
Audit an existing codebase. Detects stack, finds gaps, creates tasks, generates PROJECT.md.
Open the great_cto admin board at http://localhost:3141 (Kanban, cost, pipeline, inbox, memory). Starts it in background if not running.