AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
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Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Before doing any AWS work, read the user's local AWS config. Don't guess the region, and don't ask the user for things their config already answers.
Run these at the start of the AWS work and remember the results for the rest of the session.
AWS_PROFILE env var, else default. If the user mentioned a profile in their prompt, that overrides. If the named profile doesn't exist in ~/.aws/config, surface that clearly.
Resolution order — stop at the first one that produces a value:
AWS_REGION env varAWS_DEFAULT_REGION env varregion field on the active profile in ~/.aws/configDo not fall back to us-east-1 or any other hardcoded default.
aws sts get-caller-identity --profile <profile> --region <region>
Three purposes in one call: confirms credentials are valid (stop if not), returns the Account ID (needed for ARN construction), returns the Arn of the caller.
The Arn field tells you what kind of principal this is. The pattern matters because it determines what IAM operations the caller can do.
| ARN pattern | Type | IAM write capability |
|---|---|---|
arn:aws:iam::<acct>:user/<name> | IAM user | Depends on attached policies |
arn:aws:sts::<acct>:assumed-role/AWSReservedSSO_<...>/<email> | SSO assumed-role | Typically none — can't create/modify IAM roles |
arn:aws:sts::<acct>:assumed-role/<role>/<session> | Regular assumed-role | Depends on the role |
If the caller is SSO, surface this immediately before later skills hit iam:CreateRole and fail:
Heads up: you're authenticated via SSO (
AWSReservedSSO_<PermissionSet>_...). SSO principals usually can't create IAM roles directly. If we need a SageMaker execution role, I'll look for an existing one first — if none exists, you'll need to ask whoever manages your AWS access to create one.
This is the highest-leverage thing this skill does. Surfacing it now turns a confusing mid-deployment error into a five-second conversation.
# Effective profile and region (faster than parsing config files)
aws configure list
# Validate credentials and get identity
aws sts get-caller-identity
aws sts get-caller-identity --profile <profile-name> # if a profile was named
aws configure list handles env-var overrides and shows the resolved effective values. Prefer it over parsing ~/.aws/config yourself. If you need to read raw config (e.g. to list profiles), ~/.aws/config and ~/.aws/credentials are plain INI files — read-only.
One or two lines, not a wall of text:
Working with profile
my-profileineu-west-1, account123456789012. You're authenticated via SSO, so we'll need to use an existing IAM role rather than create one.
Don't ask the user to confirm the region you just read from their config — they configured it; that is the confirmation.
If something is wrong (credentials expired, profile doesn't exist, no region anywhere), stop and surface the specific error before continuing.
<!-- MCP:START --> <!-- PORTABILITY:START -->This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/hf-cloud-aws-context-discovery and restart Codex after major changes.Preferred MCP Server: None required
hf-cloud-aws-context-discovery outside its documented task boundary.Before claiming the hf-cloud-aws-context-discovery workflow succeeded:
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AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
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Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
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12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
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Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
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Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
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Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
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