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THE AGENSI STORE
22 skills found
by Shandra
Creates safe modernization roadmaps for old, messy, undocumented, or fragile codebases, including risk audits, refactor phases, dependency reviews, testing plans, migration steps, and AI coding prompts.
by J. Trejo
Professional-grade legal contract analysis with automated redlining and playbook-aligned risk assessment.
Turn a local Git range, recent commit window, or tag comparison into plain Markdown release notes with tolerant Conventional Commit grouping, breaking-change detection, tagless fallback, and a reviewable SemVer suggestion.
Generate a complete pull request description from your staged changes, commits, and branch diff: summary, changes, test plan, and checklist, ready for GitHub, GitLab, or Bitbucket. Cross-checks the file list against what git actually reports, so reviewers get the why and what without hallucinated filenames.
by Shandra
Creates structured troubleshooting runbooks for legacy banking systems with incident classification, dependency mapping, log review checklists, escalation paths, rollback guidance, and post-incident summaries.
An adversarial security gate that audits untrusted content — web pages, tool outputs, documents, emails — for embedded instructions, exfiltration, and authority spoofing, then returns a SAFE/REVIEW/BLOCK verdict.
Generate structured, audit-ready evidence logs documenting human review of AI-assisted work products.
by Nex AI
Automated mechanical check of notarial deeds for consistency in names, dates, amounts, and template placeholders.
Write a technical spec that lets reviewers find the flaw before the code does — with data models, edge cases, and failure modes explicit.
by Shippers
Devs and PMs lose hours hand-building PowerPoint/Google Slides for demos, design reviews, tech talks and stakeholder upd
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
A professional technical editor's review for your docs. Catches missing context, unclear writing, and unverifiable claims in READMEs, API docs, and changelogs before they ship — with a PASS/REVISE verdict and a prioritized fix list.
Professional fine-art documentation assistant for creating collector dossiers, archive records, and gallery previews.
Turn your diffs and commit history into commit messages, PR descriptions, and release notes that reviewers and users actually read. One skill, three jobs — conventional-commit compliant, reviewer-ready, and written in plain language.
Turn a diff into a structured pull request description — what changed and why, guidance on where to review and what's risky, honest testing notes, and migration/rollback notes. Scaled to the size of the change, so review is faster and the merge is safer.
by Jiangdongbo
Generates long-form, well-cited academic papers in .docx format with real literature and low AI detection.
by PromptWagon
Reviews, organizes, and drafts documentation for AI-generated image packs to prepare them for marketplace sale.
by PromptWagon
Creates structured safety cases, risk arguments, controls evidence, assumptions, limitations, assurance claims, decision logs, review questions, and sign-off packs for AI-enabled products, systems, workflows, and features. Helps teams turn AI governance expectations into practical documentation rather than abstract policy language.
The meta-skill for AI agents to self-evolve by logging lessons and updating their own instruction files.
by PromptWagon
Reviews document sets, source quality, chunking logic, metadata, retrieval coverage, citation traceability, answer grounding, source gaps, stale content, duplicate content, and failure patterns for RAG knowledge-base chatbots. Helps AI, product, support, governance, and engineering teams diagnose common and costly RAG quality problems before deployment or after incidents.
by PromptWagon
Turns model test results, prompts, outputs, benchmarks, scoring notes, evaluation datasets, failure examples, comparison results, and reviewer observations into clear model evaluation reports with findings, recommendations, evidence gaps, deployment considerations, and repeatable evaluation documentation for AI teams.
by NORTHSTAR
Check scholarship applications for missing requirements before submission.