Agent Skills catalog · page 104
Standard HTML pagination keeps the complete catalog discoverable. Use the main directory for search, filtering, and comparison.
- Current page
- 104/209
- Entries on page
- 24
- URL status
- Self-canonical
Undertone0809/rudder
advisor-review-loop-maintainer
Use it for deployment and design tasks; the detail page covers purpose, installation, and practical steps.
Undertone0809/rudder
agent-work-reviewer-maintainer
Use for independent review of Rudder implementations, UI workflows, proposals, agent work, or final handoffs. Judges first-principles intent, raw-request and correction adherence, functional trust, adversarial risk, product taste, and evidence integrity; requires traceable acceptance-packet alignment and comparative rendered evidence, and blocks packet mismatch. Returns accept, conditional accept, needs more evidence, or reject without implementing fixes.
Undertone0809/rudder
conversation-to-skill
Turn the current conversation's workflow into a reusable agent skill. Use this whenever the user wants to make a workflow reusable, standardize a successful thread, package an agent capability, or convert an ad hoc process into a repeatable skill. Read the thread first, extract the stable pattern, decide whether the skill should live in `~/.agents/skills/<name>` or `<project-path>/.agents/skills/<name>`, write the skill, and when quality matters add lightweight evals and iteration instead of jus
databricks/databricks-agent-skills
databricks-unity-catalog
Unity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer "who can read this table", and query system tables (audit, lineage, billing) or work with volume files in /Volumes/.
Undertone0809/rudder
mock-data-maintainer
Use when creating realistic Rudder mock, demo, seed, fixture, screenshot, test, CSV, JSON, SQL, TypeScript, or scenario data for local development, demos, screenshots, product explanations, and workflow validation.
Undertone0809/rudder
agent-work-reviewer-maintainer
Use when reviewing Rudder agent work, Codex sessions, PRs, commits, UI, releases, regressions, proposals, or agent outcomes for product correctness, evidence quality, scope, architecture, and handoff trust.
Undertone0809/rudder
build-advisor
Expert advisor for when a build, UI, workflow, spec, or implementation feels wrong but the user cannot yet express the right product, design, engineering, or evaluation critique. Use before more implementation to turn vague dissatisfaction, weak AI-built results, traces, benchmarks, or eval evidence into a grounded first-principles scenario analysis, explicit criteria, realistic options, corner-case coverage, and a recommended next move.
databricks/databricks-agent-skills
databricks-lakebase
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.
Undertone0809/rudder
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
AaravKashyap12/advise-project-approach
advise-project-approach
Research and advise on the best way to approach a software project, including architecture, tech stack, implementation strategy, pricing/operating-cost tradeoffs, benchmark research, and comparisons with similar real-world projects. Use before building, mid-build, or after completion when the user asks for project strategy, optimal approach, research comparables, similar projects, stack selection, vendor/service choice, repo analysis, architecture critique, implementation feedback, or a prioriti
chmonitor/chmonitor
slideshow
Author a HyperFrames slideshow composition — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching sequences, and hotspot navigation. Use as an intent check when the user asks for a presentation, pitch deck, slide deck, interactive deck, or page-to-deck conversion that might be a slideshow; if the user did not explicitly ask for a slideshow / slide show, confirm before authoring.
ok-helloworld/vibe-pentest
ghost-bits-cast-attack
Java "Ghost Bits" / Cast Attack playbook (Black Hat Asia 2026). Use when attacking Java services where 16-bit char is silently narrowed to 8-bit byte to bypass WAF/IDS for SQL injection, deserialization RCE, file upload (Webshell), path traversal, CRLF injection, request smuggling, and SMTP injection. Affects Tomcat, Spring, Jetty, Undertow, Vert.x, Jackson, Fastjson, Apache Commons BCEL, Apache HttpClient, Angus Mail, JDK HttpServer, Lettuce, Jodd, XMLWriter and re-enables many "patched" CVEs t
ok-helloworld/vibe-pentest
business-logic-vulnerabilities
Business logic vulnerability playbook. Use when reasoning about workflows, race conditions, price manipulation, coupon abuse, state machines, and multi-step authorization gaps.
ok-helloworld/vibe-pentest
sqli-sql-injection
SQL injection playbook. Use when input reaches SQL queries, authentication logic, sorting, filtering, reporting, or DB-specific blind and out-of-band execution paths.
OneWave-AI/claude-skills
agent-army
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy ga
OneWave-AI/claude-skills
sow-generator
Generates professional Statements of Work from a project brief. Use when a user needs to create an SOW, scope a project, define deliverables and milestones, or produce a consulting engagement document.
Aperivue/medsci-skills
make-figures
Generate publication-ready figures and visual abstracts for medical research papers. Supports ROC curves, forest plots, CONSORT/STARD/PRISMA flow diagrams, calibration plots, Kaplan-Meier curves, Bland-Altman plots, confusion matrices, pipeline diagrams, and journal-specific visual/graphical abstracts (python-pptx template-based).
Aperivue/medsci-skills
calc-sample-size
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interpretation, and IRB-ready justification text. Supports diagnostic accuracy, agreement, proportions, continuous outcomes, survival, ANOVA, logistic regression, and non-inferiority/equivalence designs.
Aperivue/medsci-skills
revise
Parse peer reviewer comments and generate a structured Response to Reviewers document with tracked manuscript changes. Classifies comments as MAJOR/MINOR/REBUTTAL, coordinates new analyses with /analyze-stats and /make-figures, and produces cover letter for editor.
Aperivue/medsci-skills
verify-refs
Audit-only verification of manuscript references against PubMed and CrossRef. Detects fabricated or mismatched citations and writes qc/reference_audit.json. Does not modify references/ or refs.bib.
Aperivue/medsci-skills
meta-analysis
Systematic review and meta-analysis pipeline for medical research. Covers protocol registration (PROSPERO), search strategy, screening, data extraction, risk of bias assessment (QUADAS-2/ROBINS-I), statistical synthesis (bivariate/HSROC for DTA, random-effects for intervention), and PRISMA-compliant reporting. Supports both DTA and intervention meta-analyses.
Aperivue/medsci-skills
peer-review
Peer review assistant for medical journals. Generates structured review drafts with journal-specific formatting. Constructive developmental tone with systematic manuscript analysis.
Aperivue/medsci-skills
sync-submission
Audit SSOT-to-submission drift and create journal submission manifests from canonical manuscript artifacts.
Aperivue/medsci-skills
write-paper
Full-pipeline medical/scientific paper writing. 8-phase IMRAD workflow from outline to submission-ready manuscript. Supports original articles, case reports, case series, meta-analyses, AI validation studies, animal studies, and technical notes. Do NOT trigger for self-checking (use self-review instead).