Agent Skills catalog · page 204
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event4u-app/agent-config
mcp-builder
Use when building an MCP server in Python (FastMCP) or Node/TypeScript (MCP SDK) — agent-centric tool design, input schemas, error handling, and the 10-question evaluation harness.
event4u-app/agent-config
onboarding-program
When shaping employee onboarding — time-to-productivity, role-by-role program, mentor pairing, 30/60/90 milestones. Triggers on 'design our onboarding', 'why are new hires ramping slow'.
event4u-app/agent-config
overbuild-review-lens
Use when a diff builds more than the task needs — code that should not exist, a dependency the platform already covers, or a clever form where a flat one reads better. Deletion-hunting, not quality.
event4u-app/agent-config
perf-feedback-craft
When shaping feedback — situation-behavior-impact, growth-vs-corrective split, cadence design, ladder-of-inference checks. Triggers on 'how do I give this feedback', 'perf review shape'.
event4u-app/agent-config
prediction-pool-optimizer
Optimize prediction-pool tips (kicktipp etc.): rules + multi-book consensus odds → expected-points-max answer for every question, scores AND bonus. Triggers 'optimize my pool tips', 'predict'.
event4u-app/agent-config
receiving-code-review
When processing code review feedback (bot or human) before changing anything — triages, verifies and pushes back with technical reasoning — even when the user just says 'fix the comments'.
event4u-app/agent-config
review-routing
Use when preparing a PR description, suggesting reviewers, or flagging risk — produces owner-mapped roles plus historical bug-pattern matches from project-local YAML.
event4u-app/agent-config
rule-refactor
Use when the rule set is over the Augment budget, when a new rule would breach it, or when asked to audit / merge / prune rules — runs the audit pipeline and proposes a verdict per rule.
novoads/agent-skills
spy-competitor-ads
Downloads a competitor's live ad creatives — the actual MP4s and JPEGs — from the Meta Ad Library into a local swipe folder, through the Novoads API. One sweep per competitor, priced by a live estimate before anything is charged, media pulled the moment the response lands because the CDN links expire, and every ad carried with its permanent Ad Library URL, the page running it, and how many audiences the creative is running against, closing with the three most established and why. Use when asked
event4u-app/agent-config
storybook-workshop
Use when a component library needs a workshop — one story per concept, JSDoc summaries the manifest can carry, stories run as tests, and an opt-in MCP channel that replaces guessing with querying.
event4u-app/agent-config
tailwind-engineer
Use when writing or reviewing Tailwind CSS — utility-first, design-token discipline, no inline-style drift, responsive variants, dark mode — even on 'style this' or 'mach das hübsch'.
event4u-app/agent-config
typography-system
Derive a type system from a style constraint — font pairings, scale/line-height/weights, DTCG tokens via design-tokens. Use to choose fonts or build a typographic scale.
event4u-app/agent-config
ui-apply-generic
Use when implementing a UI brief on a stack with no framework executor — Svelte, Astro, Angular, plain HTML. Carries the stack-independent contract; idiom comes from the stack corpus.
narrative-io/narrative-skills-marketplace
design-analysis
Translate a fuzzy analytical question into a rigorous investigation plan. Interrogates the ask, grounds the plan in the available data dictionary, applies analytical best practices, and produces a structured brief of query specifications for a downstream query-writing skill. Plans, does not write SQL. Use when: "why did X drop", "is there a relationship between A and B", "who are our highest-value customers", "what's driving the change in Y", "investigate this trend", "design an analysis for", "
narrative-io/narrative-skills-marketplace
generate-rosetta-stone-mappings
Generate, evaluate, and improve Rosetta Stone attribute mappings for a Narrative dataset. Use when: "map this dataset to Rosetta Stone", "suggest normalized attributes for dataset N", "evaluate the mappings on dataset N", "why is this mapping low confidence", "fix this expression", "improve this NQL mapping expression". (narrative-common)
narrative-io/narrative-skills-marketplace
create-workflow
Author and submit a Narrative workflow from a natural-language intent. Picks the closest example from `assets/examples/`, adapts it to the user's case, walks the YAML against the spec, resolves the data plane, and submits via `narrative_workflows_create` only after the user has approved the rendered spec. Use when: "create a workflow that does X", "schedule a daily refresh of dataset Y", "wrap this NQL as a workflow", "build a pipeline that creates view A then refreshes view B", "submit this wor
narrative-io/narrative-skills-marketplace
generate-identity-graph
Interactively build a Narrative identity graph workflow from one or more first-party datasets and (optionally) third-party data sources. Confirms each input dataset is mapped to the Rosetta Stone graph edge attribute (mapping it via /generate-rosetta-stone-mappings if not), then composes and submits a workflow that unions every edge source and labels connected components. Use when: "build an identity graph", "generate an identity graph", "create an identity graph", "stitch these datasets into a
narrative-io/narrative-skills-marketplace
triage-pregraph-data
Audit a dataset or access rule before it joins an identity-graph build (access rules behave like datasets in NQL here). Enumerates failure modes (hub identifiers, high-degree nodes, suspicious values, over-connected identifiers), tests hypotheses in parallel, quantifies damage by rows / edges / entities, and proposes minimal filters ranked by severity. When issues are found, returns a validated `CREATE MATERIALIZED VIEW` NQL the caller can run to produce a graph-ready clean source; if the data p
narrative-io/narrative-skills-marketplace
apply-rosetta-stone-mappings
Apply a set of Rosetta Stone attribute mappings to a Narrative dataset by wrapping them in a one-shot workflow that calls the `CreateRosettaStoneMappingsIfNotExist` task. Consumes the structured output of `/generate-rosetta-stone-mappings`, normalizes the generator's snake_case to the workflow task's camelCase, re-validates every expression against the dataset's current schema, gates on user approval, submits via `narrative_workflows_create`, polls the triggered run, and reports per-mapping crea
narrative-io/narrative-skills-marketplace
create-lookalike
Create a look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via `narrative_workflows_create`, and monitors the build to completion. Use when: "create a lookalike audience", "find more users like this segment", "expand my seed audience to 500k similar users", "score
narrative-io/narrative-skills-marketplace
find-attribute
Find the canonical Rosetta Stone attribute that best matches a fuzzy description, semantic phrase, or required schema shape. Searches the catalog with pagination, describes the shortlist in one batched call, ranks candidates by name + shape match, and returns the canonical attribute ID plus close alternatives. Use when: "find the X attribute", "what's the graph-edge attribute ID", "look up the email Rosetta Stone attribute", "search the attribute catalog for Y", "which attribute has SOURCE_ID +
narrative-io/narrative-skills-marketplace
profile-dataset
Produce a coverage & quality profile of a Narrative dataset (or access rule): row count, per-column null/fill rate, cardinality, ranges, top-values, inferred column shape, and quality flags. Reads bundled stats + sample first, recovers missing/stale stats by configuring and recalculating them, and escalates to a cheap `/write-nql` query only for a measure no stat can provide. Descriptive, not prescriptive. Use when: "profile dataset N", "what does dataset N look like", "coverage and quality of <
narrative-io/narrative-skills-marketplace
write-nql
Write, validate, and (optionally) execute an NQL query against a Narrative dataset. Drafts the query from the user's question, runs `narrative_nql_validate` until it compiles, explains the query in plain English, and only runs it on explicit approval (or when invoked with `--run`). Use when: "write an NQL query for X", "query this dataset", "validate this NQL", "run NQL against dataset <id>", "how many rows match Y", "show me the top N records from <dataset>". (narrative-common)
amadeus-dlc/amadeus
amadeus
AI-DLC workflow orchestrator. Start, resume, or manage an AI-driven development lifecycle. Scopes are defined one file per scope under `.claude/scopes/`; run `bun .claude/tools/amadeus-utility.ts help` for the authoritative list and descriptions. Utilities: --status, --doctor, --migrate [path], --stage, --phase, --scope, --depth, --test-strategy, --autonomy, --version, --help, plus the intent and space verbs. Or describe what you want to build and the scope will be auto-detected.