Squash merge a pull request. The commit message comes from this workflow rather than from GitHub, whose own version concatenates every commit on the branch into text no linter ever reads. A briefing script prints the published description, every commit the squash collapses, and the diffstat, then leaves a…
Group changes into one atomic commit, draft a Conventional Commit message in COMMITAGENTMSG, put it through an independent review and the commit-msg gates, confirm it with the operator, then commit and rebase. Use this skill whenever the user asks to commit work in a tbhb repo ("commit this," "commit the staged…
Squash merge a pull request. The commit message comes from this workflow rather than from GitHub, whose own version concatenates every commit on the branch into text no linter ever reads. A briefing script prints the published description, every commit the squash collapses, and the diffstat, then leaves a…
Detect and clean AI-generated text ("AI slop"), bilingual EN + RU. Use to rewrite AI clichés, "it's not just X, it's Y", "delve", "under the hood", "важно отметить", "под капотом", the rule of three, into natural human prose, or to check whether text was written by a neural network / ChatGPT and rate its…
Fully automatic radial exploration engine for divergent research ideation, or for exhaustively finding ways to solve one concrete hard problem. The data model is a phylogenetic tree: root = the starting point (topic / problem / current research state), node = one idea, depth = number of divergence layers, width =…
The single de-AI skill. Chains three passes over one target file: (1) in-house de-AI subsystem measurement (L0 lexicon plus L1-L4 structural and learned signals), (2) a vendored humanizer structural-tell audit (AIScientists-Dev/academic-humanizer Layers 1-5 plus blader/humanizer patterns 2.12-2.16 and the Pass-2…
Load the unified SCIPAPERSTANDARD writing guidance, formula derivation conventions, scientific-integrity rules, canonical L0 examples, and field-specific reference anchors for ApJ/MNRAS/PRD-level papers. Use when writing or reviewing scientific content.
Deep pre-submission review of a scientific manuscript, modeled on Google's Paper Assistant Tool (PAT). Segments the manuscript, allocates a reasoning budget per segment, dispatches deep reviewers in parallel (each with the full text as context), and consolidates into a single report with severity, quoted evidence, and…
Segmented drafting of a scientific manuscript, with mandatory grounding in declared project artifacts and a project-defined authorial voice. Segments what remains to be written, allocates a reasoning budget per segment, dispatches writers in parallel (each with the full manuscript as context), and consolidates into a…