Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Coding agents are confidently wrong about their own history. A summary written from memory is missing the tool results, the exit codes, and the files that changed without anyone mentioning them.
This skill enforces one rule: when a question is about something that already happened, read the trace before answering. Do not reconstruct it. If a recording exists, guessing is the wrong move even when the guess would have been right.
orca_list_runs, newest first, naming the run each fork came from.orca_graph with to: <event seq> returns only the chain that
produced one event. That is the shape of an answer to why; the full timeline
(orca_show_run) is the shape of an answer to what.recorded (the recorder watched
it happen) or inferred (derived just now from a named rule). "The trace shows the rm at step
14 removed it" and "this looks like the rm at step 14, going by timing" are different claims,
and collapsing them into one confident sentence is the exact failure this skill exists to
prevent.orca_replay re-runs the recording offline and reports what
could not be reproduced.orca_compare forks one run onto several models from the
same checkpoint, graded by a shell command whose exit code is the verdict.Why did the last run overwrite src/config.ts?
The agent reads the trace instead of recalling the session, and answers from the tool call that did it.
Does yesterday's failure still reproduce?
User: "Which step broke the build?"
Output:
Step 14 did. From the recording (recorded edge, not inferred):
14 TOOL file_editor {"command":"str_replace","path":".../tsconfig.json"}
15 SHELL npm run build exit 2
16 FILE tsconfig.json modified +1 -1
The edit at 14 removed "strict": true, and the build at 15 exited 2. I replayed the run
(reused=5/5, divergences=0) and it fails the same way.
worktree: true to replay. Without it, replay restores the recorded filesystem over the
working tree for the duration of the run, so uncommitted work is absent in the meantime — and
stays absent if the replay is interrupted.reused=3/5 is usually not a failure. Harnesses make calls for themselves — a quota probe, a
session-naming request — and replay does not repeat them.orca record claude, rather than falling back to a reconstruction.The orcareplay npm package (Node 20+) with its MCP server registered as orca, and at least one
recorded run in the project's .orca/runs directory. Apache-2.0 —
Continuum-AI-Corp/OrcaReplay.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。