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Filter a list of items to those matching a natural-language condition (e.g. "only the items that mention X"). NOT YET WIRED in chat-mode — present in src/tools/ for future enablement.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Fetch standardized financial statements (income, balance sheet, cash flow, earnings, company overview) for a ticker from Alpha Vantage. Returns combined annual+quarterly JSON for analysis.
Aim the ChatterBot head to find and center a target in view — the user, a person, an object, an animal. Runs a closed visual loop (capture, judge where the target is, nudge pan/tilt, repeat) until the target is centered, or reports it could not find the target after searching. Use when the user says point at me, look at me, turn to face someone, find the cat, center on the person. For a one-off snapshot without re-aiming use camera-capture; for a manual fixed angle use head-move.
Capture a still photo from the ChatterBot head camera. The captured frame is attached to your own visual input, so you can SEE it and answer questions about what is in view — whether the user is present, whether there is a cat, what the scene looks like. The camera rides the pan/tilt head, so it shows whatever the head is currently aimed at; aim first with head-move if needed. To also show the photo to the user on screen, follow with the display tool (the observation includes a ready <img> URL). Use when the user asks what you see, to take a picture or snapshot, or to check whether something or someone is in view.
Move the ChatterBot head — aim the pan/tilt camera or play an expressive gesture. The bot is a stationary companion head; this points its gaze, it does NOT drive or navigate. Use when the user asks you to look somewhere, turn toward/away, look up/down, re-center, or nod/shake/scan. Angles are degrees 0-180 with 90 centered (pan 0=full right, 180=full left; tilt 0=down, 180=up, mounting-dependent). Give pan and/or tilt for absolute aim, OR a gesture (not both). Returns the confirmed pose once the head settles.
Return one genuine saying of Ramana Maharshi, drawn verbatim from his recorded talks, with source attribution. Use when delivering an authentic Ramana quote with attribution — not a paraphrase or a synthesized reflection. The returned text is a raw quote; add your own brief framing before presenting it.
Generate an original image from a text description, locally (Bonsai-Image 4B, ternary-quantized, on a long-lived studio server). Use when the user wants a picture, illustration, avatar, or face created from a description that does not already exist on the web. For existing photos of real things, prefer image search instead; for simple diagrams or line drawings, prefer authoring inline SVG.
| name | filter-semantic |
| description | Filter a list of items to those matching a natural-language condition (e.g. "only the items that mention X"). NOT YET WIRED in chat-mode — present in src/tools/ for future enablement. |
| args | {"source":"required string — items to filter (concrete shape TBD pending wiring)","predicate":"required string — natural-language condition, e.g. \"mentions safety AND published after 2024\"","mode":"optional string (default \"include\") — \"include\" returns matches, \"exclude\" returns non-matches"} |
Apply a natural-language predicate to each item in a list and return the items that match (or, with mode: "exclude", the items that don't).
Status: the tool exists in src/tools/ but is not yet exposed via the chat ReAct catalog. The list-shape input convention hasn't been settled (chat ReAct passes strings as $stepN bindings; the OODA executor passed Collection IDs). When wired, the args contract above will be revised to match the chosen shape.
"has a positive tone", "contains code or implementation details""mentions safety AND published after 2024""price under $50", "earlier than 2020"Phrase predicates to describe what to match. Use mode: "exclude" instead of writing negative predicates ("does NOT contain X").
assessassess operates on one text, returns one bool.filter-semantic operates on many texts, returns the subset that match.One tool call vs N tool calls for the same job.