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UpdatedJuly 7, 2026 at 21:21

Create a new Target in the pipeline (the source verb). Human-gated: admission needs the user's approval.

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Play-New/bending-spoons-ontology

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Financial and Investment AnalystsBusiness and Financial Operations Occupations·SOC 13-2051

SKILL.md

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name	source
description	Create a new Target in the pipeline (the source verb). Human-gated: admission needs the user's approval.

Execute the source verb of the Bending Spoons world model, per its contract.

Read the contract: capabilities/actions/market-radar.md — parameters, submission criteria, gate. Follow it exactly.
Gather the parameters from the user/context (ask only for what the contract requires and you cannot read from the model itself).
Propose (phase 1 — writes nothing): python3 -c "import sys; sys.path.insert(0,'mcp'); import engine, json; print(json.dumps(engine.propose('source', PARAMS), indent=2))" If the engine REFUSES, report the refusal verbatim — it is a submission criterion firing (a will constraint or an invariant), not an error to work around.
Show the user: the checks, the gate, and the exact diff. Admission into the pipeline is the human gate.
Only on the user's explicit yes, apply (phase 2): python3 -c "import sys; sys.path.insert(0,'mcp'); import engine; print(engine.apply('PROPOSAL_ID', 'USER_NAME'))" The engine runs the audit and commits if green; report the outcome. Never edit the csvs directly.

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The desk over the whole deal machine — pipeline status, pending proposals, and which verb applies next. Start here ("/deal-desk") to see the state and be guided to the right action skill.

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The hiring assistant — run a candidate through Bending Spoons' selection funnel and score them against the disclosed gates. Read-only, advisory: it drafts a recommendation; the committee decides. The people-side twin of screen-target.

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Screen a Target against the hard gates (the screen verb). Applies auto — the write IS the screen.

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name	source
description	Create a new Target in the pipeline (the source verb). Human-gated: admission needs the user's approval.

Execute the source verb of the Bending Spoons world model, per its contract.

Read the contract: capabilities/actions/market-radar.md — parameters, submission criteria, gate. Follow it exactly.
Gather the parameters from the user/context (ask only for what the contract requires and you cannot read from the model itself).
Propose (phase 1 — writes nothing): python3 -c "import sys; sys.path.insert(0,'mcp'); import engine, json; print(json.dumps(engine.propose('source', PARAMS), indent=2))" If the engine REFUSES, report the refusal verbatim — it is a submission criterion firing (a will constraint or an invariant), not an error to work around.
Show the user: the checks, the gate, and the exact diff. Admission into the pipeline is the human gate.
Only on the user's explicit yes, apply (phase 2): python3 -c "import sys; sys.path.insert(0,'mcp'); import engine; print(engine.apply('PROPOSAL_ID', 'USER_NAME'))" The engine runs the audit and commits if green; report the outcome. Never edit the csvs directly.