Packs

3 packs

Results for “sar”

11 skills
More results
mukul975-2
dsar-processing
Guides AI agents through the complete GDPR Data Subject Access Request (DSAR) workflow under Article 15, including identity verification, 30-day deadline calculation with extensions, response formatting, exemptions, and fee provisions. Activate when handling DSAR, access request, subject access, Art. 15, or SAR queries.
228 · bundle
huuanh20
sr-validate
Validates generated SRS documents against IEEE 830-1998, fixing errors and reporting warnings.
1 · bundle
dangquangse
sr-validate
Validates generated SRS documents against IEEE 830-1998, fixes errors, and reports compliance verdict.
19 · bundle
mukul975-2
dsar-intake-system
Builds a multi-channel DSAR intake system supporting web form, email, phone, and in-person requests with identity verification tiers, automated routing logic, SLA tracking, and response generation. Activate for DSAR intake, rights request portal, multi-channel intake, SLA tracking, request management queries.
228 · bundle
johnalbertini14-glitch
srt
Searches, reserves, and manages Korean SRT train tickets via CLI, including continuous monitoring for canceled seats.
1 · bundle
huuanh20
sr-brainstorm
Runs a structured, multi-round brainstorm to capture actors, features, scope, constraints, and business rules for a project before writing a spec.
1 · bundle
brycewang-stanford
iv-estimation
Econometrics skill for instrumental variables and treatment effect estimation. Activates when the user asks about: "instrumental variables", "IV estimation", "2SLS", "two-stage least squares", "endogeneity", "weak instruments", "first stage", "Sargan test", "overidentification", "propensity score matching", "PSM", "average treatment effect", "ATT", "LATE", "local average treatment effect", "endogenous regressor", "instrument validity", "工具变量", "两阶段最小二乘", "内生性", "弱工具变量", "倾向得分匹配", "平均处理效应", "处理效应", "局部平均处理效应"
1k · bundle
saranskumar
thinking
Use before any complex or ambiguous task where the path forward is unclear. For breaking down multi-step problems, choosing between approaches, clarifying vague requirements, identifying hidden assumptions, planning before building, and preventing costly mistakes from starting in the wrong direction. Activate when user says "how should I approach this", "what's the best way to", "I'm not sure how to", or presents a problem without a clear solution.
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