Coding

Open Feed Recsys Reviewer

Try it

Review open feed recommendation repositories with source-backed evidence, artifact-readiness checks, and cautious architecture summaries. Use when a user ask...

What it does

Use this skill to review public feed recommendation repositories and separate what the source supports from what remains unproven.

The skill document

Open Feed Recsys Lab

Use this skill to review public feed recommendation repositories and separate what the source supports from what remains unproven.

Default target: https://github.com/xai-org/x-algorithm.

Review Workflow

  1. Confirm the target repository, commit, public link, or user-provided file set.
  2. Build an evidence ledger with repository/ref, files inspected, supported claims, weak claims, and open questions.
  3. Separate source inspection from runnable-model proof. If Phoenix artifacts are missing, say execution is not verified.
  4. Map the visible architecture: Home Mixer, Phoenix retrieval/ranking, Thunder, Grox, ads blending, and candidate pipelines when present.
  5. Treat public algorithm claims as hypotheses. Mark each claim supported, partly_supported, unsupported, or not_public_repo.
  6. Frame shareable output around reproducibility and evidence. Do not present the public source as a reach predictor or full live-platform clone.

Phoenix Artifact Readiness

Only treat Phoenix execution as verified after the official artifacts are present and the user has supplied a local run result. The expected extracted directory is:

phoenix/artifacts/oss-phoenix-artifacts/

Expected files include:

  • retrieval/model_params.npz
  • retrieval/embedding_tables.npz
  • retrieval/config.json
  • ranker/model_params.npz
  • ranker/embedding_tables.npz
  • ranker/config.json
  • sports_corpus.npz
  • example_sequence.json

If the report says Phoenix is not run-ready, state that source inspection succeeded but execution is blocked by missing extracted LFS artifacts.

Boundaries

  • Use public source or user-provided local files only.
  • Do not request or inspect private user data, authenticated account pages, or non-public analytics.
  • Do not promise reach, ranking, virality, revenue, or live-platform equivalence.
  • Do not claim that public source contains every production weight, threshold, model version, or serving rule.
  • Do not execute repository code or delete local files as part of a review unless the user separately asks for that engineering work.

Output Shape

Return a concise review with:

  • Target: repo, ref, and source date when known.
  • Supported: claims backed by public source.
  • Blocked: missing artifacts, missing configs, or live-platform gaps.
  • Architecture: short component map.
  • Risks: overclaims, ambiguous evidence, or unsafe product positioning.
  • Next check: the smallest concrete verification step.

The preferred public-safe framing is:

I verified the open X For You algorithm locally at commit ; here is the report.

Companion Skills

Use x-algo-claim-auditor when the user asks whether a public claim, screenshot text, or viral thread is supported by the source.

Use tinytroupe-feed-research-lab when the user asks to compare draft posts, simulate audience reactions, or pretest a post before publishing. Keep that work labeled as synthetic audience research, not source verification or reach prediction.

Related skills

Stores durable facts in a categorized, plain-markdown vault on disk, alongside your agent's built-in memory.

by Iván559 installs18 stars

Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.

by nssa.io1.0k installs47 stars

Fetch raw ad creative, app, ranking, and revenue data from AdMapix as structured JSON.

by fly0pants4.3k installs296 stars

Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.

by johnpatternai22 installs8 stars

Find why your productivity system keeps failing, then apply the smallest fix — capacity math, bottleneck routing, durable local notes.

by Iván855 installs69 stars

More from zack-dev-cm

Browse all skills

OpenClaw CWS Publisher is a public ClawHub Chrome Web Store publisher skill. Use it when the user says "chrome web store publisher", "extension release publi...

by zack-dev-cm29 installs3 stars

SOTA Agent is a public ClawHub SOTA-campaign skill for CV and DS work. Use it when the user says "sota agent", "state of the art benchmark scouting", or want...

by zack-dev-cm28 installs2 stars

Use when studying or normalizing Chinese lesson transcript/subtitle inputs with bundled public lesson data, learner docs, local export bundles, and pilot-fir...

by zack-dev-cm22 installs1 stars

OpenClaw YouTube Publisher is a public ClawHub YouTube publishing skill. Use it when the user says "youtube creator ops", "youtube publisher", "YouTube Studi...

by zack-dev-cm25 installs2 stars

Build source-backed research claim ledgers from drafts, literature matrices, notes, citation lists, PDFs, source packets, or reviewer comments. Use when the...

by zack-dev-cm13 installs

Install, wire, audit, and harden AgentMemory for AI coding agents and project workspaces. Use when Codex needs to adopt rohitg00/agentmemory, configure Codex...

by zack-dev-cm14 installs