codex/skills/accretive/SKILL.md
Activate maximal ambition, add a non-obvious frame, then choose one dominant accretive move grounded in current project state. Preserve original accretive prompt wording verbatim except for one injectable target parameter.
npx skillsauth add tkersey/dotfiles accretiveInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this template to preserve the historical wording while injecting a target:
What's the single smartest and most radically innovative and accretive and useful and compelling {target} you could make to the project at this point?
Use the historical grandiose sentence to widen the search radius. Then apply a strict dominance test so the result is genuinely high-leverage rather than merely theatrical.
Think with maximal ambition. Decide with maximal discipline.
{target} value.target as an explicit parameter.addition and change as the built-in historical targets.target=addition: yields the original historical add prompt shape.target=change: yields the original historical chng prompt shape.target=<other phrase>: inject that phrase into the parameterized prompt form and keep the rest of the sentence unchanged.capability, interface, tooling, invariant, proof surface, refactor, or another named lane that better captures the dominant opportunity.A move is dominant only if it materially beats plausible alternatives on at least one important axis without losing badly on the others.
Important axes include:
Validation must be concrete whenever possible. Prefer one or more of:
Target, Prompt sentence, Current-state evidence, Move, Why it wins, Why not the next-best alternatives, First proof signal, Next step.Target, Prompt sentence, Why no move dominates yet, Missing evidence, Fastest way to get that evidence.Target, Move made, Evidence used, Validation, Residual risk, Next step.tools
Invokes Apple's macOS 27 fm command-line tool from a local Mac to use the on-device system model or Private Cloud Compute, including instructions, image prompts, schema-constrained JSON, and noninteractive automation. Use when the user asks to run Apple Foundation Models through fm, compare system versus pcc, generate structured output, or automate fm without Swift or an app.
development
Compile historical Codex sessions into governed counterfactual evidence, evaluate an existing owner-applied candidate through blinded paired HCTP trials, and fold observable evidence into RUN, OBSERVE, or STOP. Use for `$hylo`, CRF extraction, counterfactual replay, source-governed direct or historical trials, sealed evidence, paired baseline/candidate evaluation, causal frontiers, or evidence-governed improvement.
testing
Ensure a `ledger` command is available on PATH; materialize, validate, record, replay, and project requested Actuating artifacts without taking semantic or execution authority; coordinate the shared Learnings/Synesthesia/Negative Ledger lifecycle checkpoint and repo-local source-memory reconciliation; address Universalist plans and receipts; and perform pure artifact validation.
testing
Classify and quotient review findings, failing tests, incidents, bug reports, migration failures, and other witnessed falsifiers against accepted intent and the current Construction. Author counterexample-set/v1 without selecting repairs, counting review credit, or granting mutation.