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aiming-lab
ملف منشئ GitHub

aiming-lab

عرض على مستوى المستودعات لـ ٧١ skills مجمعة عبر ٣ مستودعات GitHub.

skills مجمعة
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المستودعات و skills الممثلة

agent-task-handoff
المهن الحاسوبية الأخرى

Use this skill when delegating a subtask to a sub-agent, spawning a parallel worker, or handing off work across sessions. Write a self-contained task description so the receiving agent needs no prior context.

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async-communication-etiquette
موظفو المكاتب العامون

Use this skill when writing messages in async channels (Slack, GitHub issues, email threads) where the reader may not have context and cannot ask follow-up questions immediately.

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audience-aware-communication
موظفو المكاتب العامون

Use this skill when writing any explanation, documentation, or response that will be read by someone else. Match vocabulary, depth, and format to the audience's expertise level before writing.

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auth-and-authorization-patterns
محللو أمن المعلومات

Use this skill when implementing authentication (login, token issuance) or authorization (access control, permissions). Apply whenever the task involves login flows, JWT, OAuth2, session management, or RBAC.

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avoid-acting-on-assumptions
متخصصو إدارة المشاريع

Common mistake — proceeding with assumptions about ambiguous requirements instead of asking a clarifying question first. This skill reminds you to stop and ask before acting on uncertain interpretations.

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avoid-hallucinating-specifics
مطوّرو البرمجيات

Common mistake — stating specific facts (API endpoints, library versions, config options, function signatures) with false confidence when uncertain. Always flag uncertainty rather than guessing specifics.

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avoid-scope-creep
متخصصو إدارة المشاريع

Common mistake — doing unrequested work (refactoring, adding extra features, cleaning up style) when the user asked for a specific, targeted change. Only change what was explicitly asked.

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clarify-ambiguous-requests
متخصصو إدارة المشاريع

Use this skill when the user's request is ambiguous, under-specified, or could be interpreted in multiple ways. If proceeding with a wrong assumption would waste significant work, always ask exactly one focused clarifying question before doing anything.

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عرض 8 من أصل ٣٦ skills مجمعة.
fba-simulator
علماء الأحياء، جميع الآخرون

Run Flux Balance Analysis (FBA) and related constraint-based simulations using COBRApy. Covers standard FBA, parsimonious FBA (pFBA), Flux Variability Analysis (FVA), loopless FBA, gene/reaction knockouts, and carbon source swapping. Outputs flux…

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flux-analyzer
علماء الأحياء، جميع الآخرون

Analyse FBA flux distributions to extract biological insights. Covers gene essentiality, phenotypic phase planes, flux sampling, pathway-level aggregation, secretion product prediction, and production of publication- quality figures.

٢٠ مايو ٢٠٢٦
gsmm-builder
علماء الأحياء، جميع الآخرون

Build or load a genome-scale metabolic model (GSMM) using COBRApy. Covers loading from BIGG, constructing minimal models from scratch, setting medium constraints, and exporting validated .json model files.

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gsmm-validator
علماء الأحياء، جميع الآخرون

Validate a COBRApy genome-scale metabolic model for mass/charge balance, stoichiometric consistency, biomass producibility, dead-end metabolites, thermodynamic loops, and GPR rule formatting. Outputs a structured validation report with errors and warnings.

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metabolic-study-planner
علماء الأحياء، جميع الآخرون

Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses,…

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mfa-pipeline-orchestrator
علماء الأحياء، جميع الآخرون

Orchestrate the full metabolic flux analysis pipeline from model loading to phenotype prediction and publication figures. Triggers when the user provides an organism name, BIGG model ID, or custom reaction list and wants end-to-end metabolic modelling run…

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stat-research-orchestrator
علماء البيانات

Orchestrate a statistical research pipeline centered on formal problem formulation, method proposal, theoretical analysis, experimental evaluation, comparison, and final result synthesis.

٢٠ مايو ٢٠٢٦
stat-result-validator
علماء البيانات

Validate statistical research outputs for formulation quality, method-to- problem alignment, theory presence, experimental evidence, fair comparison, artifact completeness, and final-claim consistency.

٢٠ مايو ٢٠٢٦
عرض 8 من أصل ٣٤ skills مجمعة.
عرض ٣ من أصل ٣ مستودعات
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