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talent-factory
Profil créateur GitHub

talent-factory

Vue par dépôt de 37 skills collectés dans 2 dépôts GitHub.

skills collectés
37
dépôts
2
mis à jour
2026-06-25
explorateur de dépôts

Dépôts et skills représentatifs

dev-browser
Développeurs de logiciels

Browser automation with a persistent session, driven by the Playwright Python API. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

2026-06-25
ponytail-audit
Analystes en assurance qualité des logiciels et testeurs

Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/core:ponytail-audit". One-shot report, does not apply fixes.

2026-06-25
ponytail-debt
Analystes en assurance qualité des logiciels et testeurs

Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/core:ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.

2026-06-25
ponytail-review
Analystes en assurance qualité des logiciels et testeurs

Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /core:ponytail-review. Complements correctness-focused review, this one only hunts complexity.

2026-06-25
ponytail
Développeurs de logiciels

Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", and whenever they complain about over-engineering, bloat, boilerplate, or unnecessary dependencies.

2026-06-25
wiki-ingest
Éditeurs PAO

Ingests a new source (web clipping, AI chat export, raw note, transcript) into an Obsidian-based LLM knowledge wiki. Files the source under _raw/, distills it into one or more _wiki/ pages, updates index and log, and pulls bidirectional cross-references. Triggers when the user asks to "ingest this source", "digest this clipping into the wiki", or runs /wiki:ingest while working in a configured wiki vault.

2026-06-22
wiki-lint
Éditeurs PAO

Runs a structural and content health check on an Obsidian-based LLM knowledge wiki. Detects frontmatter issues, broken or asymmetric cross-references, contradictions, stale claims, tag discipline violations, migration backlog overflow, missing hub pages, and orphan content. Produces a structured lint report. Triggers when the user runs /wiki:lint, asks for a "wiki health check", or asks to lint the knowledge wiki.

2026-06-22
wiki-maintain
Éditeurs PAO

Runs non-interactive maintenance on an Obsidian-based LLM knowledge wiki — deterministic validation, semantic health checks, trivial auto-fixes, and a written report. Built to be scheduled (cron/launchd). Triggers when the user runs /wiki:maintain, asks to "run wiki maintenance", or "auto-fix the wiki".

2026-06-22
Affichage des 8 principaux skills collectés sur 34 dans ce dépôt.
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