'did' 검색 결과

Develop solution ideas through repeated rounds of research, cross-domain borrowing, recombination, and evaluation. Receive ranked candidates with feasibility and novelty scores, supporting and opposing arguments, and a record of where each idea came from and how it changed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop newsletter retention strategies
• Find approaches inspired by other fields
• Combine and refine existing feature ideas

Prepare an Apache bRPC release with tracked progress, version updates, release candidate checks, and draft release notes and emails. The workflow leaves signing, publishing, and other external release actions to the release manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare version files and a release branch
• Resume release work from a saved progress record
• Verify local or uploaded release packages

Screen companies across markets within a chosen industry and narrow the list to three investment candidates. Compare financial health, lasting competitive advantages, valuations, and risks, while recording why other companies were excluded.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Narrowing an industry's investment candidates to three companies
• Comparing Chinese, Hong Kong, and US stocks using shared criteria
• Reviewing why companies passed or failed the screening

Review what Superset agents did while you were away by checking workspaces, tasks, and recent terminal output. Receive a concise digest of completed work, review requests, ongoing activity, and blockers, with the next actions listed first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Catching up on agent work after a break
• Finding agents waiting for review or answers
• Reviewing overnight completions and blockers

Inspect repository code or code changes for plausible security vulnerabilities. The skill records candidate issues with affected locations, attacker-controlled inputs, failing safeguards, and possible impact, preserving the evidence needed for later validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding security issues that may arise from code changes
• Investigating vulnerability candidates in repository code
• Organizing source evidence for later validation

Uses a known or suspected vulnerability to find related code through Trailmark's graph of calls, types, and implementations. Produces ranked review targets with reasons and limitations for follow-up security analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding variants of a known vulnerability
• Prioritizing code that shares sensitive operations
• Preparing candidates for Semgrep or CodeQL review

Turn security findings into candidate code fixes with review results and summaries. Depending on the input, use independent source review or a pipeline with execution checks, then provide diffs for a person to review and apply.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating candidate fixes from triaged findings
• Preparing diffs for the highest-priority vulnerabilities
• Independently reviewing proposed security fixes

Screen public equity candidates and prioritize further research using company sources, market data, and supplied notes. Organize promising names, watchlist items, evidence gaps, and rejection risks into a concise review or standalone HTML report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritize stocks for deeper research
• Check evidence behind thematic stock candidates
• Review watchlist triggers and rejection risks

Prioritizes candidate genes from GWAS, studies linking genetic variants to traits. Combines locus predictions, gene expression evidence, and rare variant support into ranked results with source attribution, confidence labels, reproducible files, and optional figures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find candidate genes for a disease or trait
• Rank genes near specified lead variants
• Compare evidence and tissue support across genes

Examines code or code changes for plausible security vulnerabilities by tracing attacker-controlled input to dangerous operations or failed safeguards. Records candidate issues with affected locations, supporting evidence, potential impact, and controls that need further validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discover candidate vulnerabilities in code changes
• Trace input paths to authorization gaps or injection risks
• Investigate code locations linked to a security advisory

Generate new small molecules intended to bind a target protein with Boltz. The workflow covers cost estimation, job submission, result downloads, and ranking candidates by binding confidence or a score for improving promising molecules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate binding candidates without an existing compound library
• Rank generated molecules by binding confidence
• Review solubility and permeability of promising candidates

Screen an existing compound library against a protein target with Boltz. Rank candidates by binding confidence or lead optimization score, download predicted structures, and review solubility, permeability, and lipophilicity results alongside the ranked hits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Screening an existing compound library against a protein
• Finding candidates with high binding confidence
• Comparing candidates for lead optimization

Screen supplied proteins, peptides, antibodies, or nanobodies against a target with Boltz. Prepares inputs, obtains a cost estimate for approval, downloads results, and ranks candidates by binding confidence, a score for predicted binding reliability.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rank existing protein binders against a target
• Compare antibody or nanobody candidates
• Screen candidates using target sequences alone

Turn .NET runtime addresses in Android crash reports into function names, source files, and line numbers. The skill extracts build identifiers, downloads matching debug symbols, and uses llvm-symbolizer to produce a readable backtrace.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging native crashes in .NET MAUI or Mono Android apps
• Resolving libmonosgen-2.0.so and libcoreclr.so frames
• Investigating runtime-related SIGABRT or SIGSEGV crashes

Design amino acid sequences from a protein backbone using SolubleMPNN, a model trained on soluble protein structures. Generate candidates with a solubility bias for redesigning aggregation-prone proteins or preparing an E. coli expression screen.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Redesign protein candidates that aggregate
• Adapt membrane-adjacent folds for soluble expression
• Generate candidates for an E. coli expression screen

Design amino acid sequences from a protein backbone stored in a PDB file using ProteinMPNN. Generate multiple candidates, redesign selected chains while preserving specified residues, and vary sampling settings to prepare sequences for downstream structure prediction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing sequences for RFdiffusion backbones
• Redesigning a chain while keeping interface residues fixed
• Generating candidates across multiple sampling temperatures

Validate a Kiln release candidate with standard code checks and selected tests against live APIs. Diagnose failures, inspect outdated model selections and coverage gaps, and produce a report with recommended actions without changing code or tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate a release candidate before publication
• Diagnose failures in live API tests
• Check test model selections for outdated versions

Review a codebase for design friction and compare refactoring candidates in an HTML report with before-and-after diagrams. Then explore a chosen candidate through questions about constraints, module design, and testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find design problems in frequently changed code
• Compare refactoring candidates with diagrams
• Explore constraints and tests for a chosen improvement

Develop identification arguments in econometrics: establish whether observed data uniquely determine a target parameter, state assumptions and rank conditions, and write formal propositions. When uniqueness fails, characterize the range of parameter values consistent with the data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing an identification proposition for a paper
• Checking assumptions for IV, DiD, or RDD
• Examining rank conditions for moment equations

Turn a financial economics research idea into a structured, 12-part empirical proposal. It outlines hypotheses, matching data sources, methods for testing causal effects, illustrative results tables, and robustness checks, while examining the study’s contribution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a financial economics research proposal
• Finding Chinese and international data sources
• Planning tests of causal effects

Plan robustness checks for finance and economics papers to assess whether findings hold under different samples, variable definitions, and modeling choices. Get method-specific checklists, test priorities, and a template for presenting results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing robustness checks before submitting a paper
• Choosing checks for difference-in-differences analysis
• Planning tests for instrumental variable estimates

Find STATA code examples for empirical accounting research from published replication files. Adapt regression, matching, event study, and table export syntax to your variables, with citations to the papers behind each example.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement fixed effects regressions in STATA
• Find published DiD and matching code examples
• Export regression results as formatted tables

Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating policy or intervention effects
• Comparing public health effect estimates
• Examining how effects differ across groups

[omh] Existing skills to reuse before authoring: prepare a metadata-only search-before-creation report for local, marketplace, GitHub, and web skill candidates with risk review and adoption options. Use when the user says: skill-scout, skill scout, skill candidate, skill candidate search, skill discovery, find a skill, find skills, top skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.