Individual skill

binder-design-campaign

Plan and run a protein design campaign within a user-approved stage and resource boundary. Branches: de novo binder design (epitope choice, generation, co-folding ensemble ranking, ranked order sheet); structure and complex prediction with calibrated confidence; protein engineering (stability, enzyme, interface). Fires on designing binders or miniproteins, picking an epitope or hotspots, running RFdiffusion, BindCraft, BoltzGen, ProteinMPNN, ESMFold2 or Protenix, computing ipSAE or DockQ, ranking designs to order, auditing such a campaign, or 蛋白结合子设计, 表位选择, 结构预测.

binder-design-campaign/SKILL.md

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Last checked: Nov 11, 2026

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Repository stars (not skill ratings): 23
Repository last updated: Sep 30, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
binder-design Repository topic
claude-skills Repository topic
protein-design Repository topic
reproducibility Repository topic
structural-biology Repository topic
engineering Derived category
design Derived category
marketing Derived category

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Browse files

LICENSEasset · 1,089 bytes
NOTICE.mddoc · 6,327 bytes
SKILL.mdcore · 10,180 bytes
SKILL.mdcore · 10,180 bytes
checklists/gate-checklists.mddoc · 15,562 bytes
docs/design-rationale.mddoc · 7,915 bytes
docs/responsible-use.mddoc · 2,859 bytes
docs/source-mapping.mddoc · 10,914 bytes
examples/README.mddoc · 2,925 bytes
examples/design_sheet.csvasset · 6,454 bytes
examples/ledger/demo-worker.jsonlasset · 910 bytes
examples/ledger/rejects/demo-worker.jsonlasset · 1,185 bytes
examples/score_normalization.jsonasset · 1,219 bytes
examples/scoring_policy.yamlasset · 3,572 bytes
examples/sheet_schema.jsonasset · 8,075 bytes
examples/state/authorization.jsonasset · 113 bytes
examples/state/gates/EGFR.jsonasset · 1,038 bytes
examples/state/gates/PD-L1.jsonasset · 1,039 bytes
examples/state/governor.jsonasset · 87 bytes
examples/state/heartbeat.jsonasset · 70 bytes
examples/wallclock_hours.jsonasset · 28 bytes
references/campaign-planning.mddoc · 5,348 bytes
references/compute-backends.mddoc · 13,986 bytes
references/deliverables-spec.mddoc · 14,209 bytes
references/failure-modes.mddoc · 9,252 bytes
references/scoring-instrument.mddoc · 13,590 bytes
references/target-dossier-guide.mddoc · 7,575 bytes
references/thresholds.mddoc · 7,406 bytes
references/tool-catalog.mddoc · 16,108 bytes
references/validation-gates.mddoc · 7,948 bytes
requirements.txtdoc · 14 bytes
scripts/check_design_sheet.pyruns · 20,065 bytes
scripts/check_diversity.pyruns · 5,949 bytes
scripts/ledger.pyruns · 15,189 bytes
scripts/make_scoreboard.pyruns · 8,445 bytes
scripts/preflight.pyruns · 7,005 bytes
scripts/selfcheck.pyruns · 11,960 bytes
sources/anthropic/README.mddoc · 1,052 bytes
sources/anthropic/multi_target_binder_design_prompt.mddoc · 113,932 bytes
templates/campaign_config.yamlasset · 4,896 bytes
templates/campaign_plan.mddoc · 2,183 bytes
templates/report_outline.mddoc · 4,765 bytes
templates/scoring_policy.yamlasset · 3,581 bytes
templates/sheet_schema.jsonasset · 7,098 bytes
templates/target_dossier.mddoc · 3,211 bytes
workflows/binder-design.mddoc · 11,588 bytes
workflows/protein-design-general.mddoc · 6,618 bytes
workflows/structure-prediction.mddoc · 4,624 bytes

Read excerpt


# Protein design campaign

Three branches, one core. First turn the user's goal into a reviewable campaign
plan; after the user chooses how far to execute, the evidence rules and
deliverable discipline below hold for all three branches.

| Branch | Read | For |
|---|---|---|
| binder design | `workflows/binder-design.md` | miniprotein binders against a protein target |
| structure prediction | `workflows/structure-prediction.md` | folds or complexes with calibrated confidence |
| protein engineering | `workflows/protein-design-general.md` | stability, enzyme, interface, scaffold redesign |

Provenance and rationale: `docs/` and `NOTICE.md`, relative to this skill.