Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.