SimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱!
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: identifiers
Annuaire en anglaisMandatory iPolloWork code-change gate for modern, minimal, performant, reuse-first implementation and clean repository ownership. Use whenever AI creates, edits, deletes, or refactors application code, server code, packages, scripts, tests, dependencies, schemas, routes, UI, or generated-file workflows. Reuse existing code before creating files, keep one source of truth, prevent parallel implementations and junk directories, justify every new file or dependency, and audit the current change before completion.
Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/graph-gophers/graphql-go`.
For a detached wiki ingester only. The main agent never loads this. Defines orientation protocol, page format, role guardrail, validator contract, manifest protocol, and deterministic completion contract. Loaded by the provider-aware runtime worker.
SQL implementation TypeIDs: type-safe, K-sortable, and globally unique identifiers inspired by Stripe IDs
Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, checkpoints or switches tasks, resumes or hands work to another AI tool, collaborates across parallel task sessions, Git branches, or worktrees, prepares a pull request, or completes a coding task. Use this skill to bridge Codex, Claude, Cursor, GitHub Copilot, Grok, and other coding agents through native instruction adapters, private session-isolated handoff drafts, atomic completed-change publication, a shared Context Manifest, language-aware Context Packs, stable feature specifications, verified change history, coverage gates, and managed README summaries without asking the user to run bookkeeping commands.
Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a redacted caller fingerprint. Use after any CALL-E call when an agent or operator needs an actionable, reviewable record of what was said without re-reading the whole transcript or re-playing the recording.
Use Wanta WikiGraph knowledge contexts through the managed wg command.
Launch worktree-scoped local services for issue implementation when a monorepo skill requires database dependencies.
A python library/command-line tool to extract the DOI or other identifiers of a scientific paper from a pdf file.
Audit or edit Sero Markdown documentation and other product prose to remove AI-writing patterns while preserving technical meaning, product terminology, links, examples, and the repository voice. Use when the user asks to humanize, de-slop, tighten, simplify, rewrite, or audit Sero documentation, README text, UI copy, release notes, plans, or specifications for AI tells. Also use when prose needs ASD-STE100 Simplified Technical English. Do not use for code review or for creative and promotional writing.