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SkillsMP a collecté 36 skills depuis fabioc-aloha/AIRS_Data_Analysis. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 36 skills collectés sur 36.
Create agents that pass agent-review's six gates by construction — role capture, distinct-from-skill check, tool allowlist minimization, draft against gates, dogfood self-review. Use when authoring a new agent, refactoring an existing one, or promoting a Mall…
Langue du texte source : anglais
Audits a candidate agent (.agent.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence) plus Gate 6 (tool allowlist minimality). Use when reviewing a new agent draft before commit, evaluating a Mall agent or store…
Langue du texte source : anglais
Detect, resolve, and manage the Alex_ACT_Memory shared memory bus. Fires on bootstrap, session start (announcements), and feedback writes.
Langue du texte source : anglais
Generate on-brand Alex — ACT Edition SVG banners for documents (READMEs, plans, notes, release artifacts)
Langue du texte source : anglais
Prevent fabricated facts, invented APIs, and citation confabulation at the point of generation. Use when generating factual claims, code examples, API references, library names, configuration values, error messages, or citations — anything where 'sounds…
Langue du texte source : anglais
Perform a local brain audit for ACT Edition (and Supervisor) using deterministic QA plus targeted file review, then produce severity-ranked fixes. Pairs with extension-audit on the sibling surface side; the Marketplace surface routes there, not here.
Langue du texte source : anglais
Systematic code review for correctness, security, and growth — not just style enforcement
Langue du texte source : anglais
Scaffold book-writing projects with folder structure, BOOK-PLAN template, character development matrices, and chapter organization patterns. Use when starting a new book project, planning multi-chapter structure, or building character bibles.
Langue du texte source : anglais
Challenge what you think is right — alternative hypotheses, missing data, evidence quality, bias detection, falsifiability, and adversarial review
Langue du texte source : anglais
Adversarial code review with three parallel perspectives — Advocate, Skeptic, Architect — that create productive tension. Use for high-stakes PRs, architectural changes, or when single-pass review would miss issues. Surfaces findings through disagreement, not…
Langue du texte source : anglais
Documentation hygiene — anti-drift rules, count elimination, and living document maintenance
Langue du texte source : anglais
Convert Word documents (.docx) to clean Markdown with image extraction and pandoc cleanup
Langue du texte source : anglais
Apply consistent git practices for branch hygiene, safe commits, and recovery from common mishaps (lost commits, bad merges, accidental pushes). Use when authoring or reviewing a git workflow, recovering broken local state, or sequencing a commit/push that…
Langue du texte source : anglais
Greeting-triggered self-check — recognise greetings, check Edition version against the upstream tag, scan AI-Memory announcements, and report inside the greeting reply
Langue du texte source : anglais
Convert HTML documents to clean Markdown via pandoc
Langue du texte source : anglais
Create instructions that pass instruction-review's five gates (plus Gate 6 for always-on) by construction — intent capture, prior-art scan, applyTo calibration, draft against gates, dogfood self-review. Use when authoring a new instruction, refactoring an…
Langue du texte source : anglais
Audits a candidate instruction (.instructions.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence) plus optional Gate 6 (token budget for always-on instructions). Use when reviewing a new instruction draft before…
Langue du texte source : anglais
Write markdown that passes markdownlint on first attempt — encode the most common rules as muscle memory
Langue du texte source : anglais
Author markdown and Mermaid diagrams that render correctly in VS Code, GitHub, and other Mermaid 10+ consumers — covers diagram-tool selection, mandatory init template, parser pitfalls, and visual design rules. Use when writing technical docs with embedded…
Langue du texte source : anglais
Render user-supplied markdown safely — marked.js → DOMPurify → Mermaid (order matters; skipping the sanitizer is XSS)
Langue du texte source : anglais
Convert Markdown to RFC 5322 email (.eml) with inline CSS and CID images
Langue du texte source : anglais
Convert Markdown to standalone HTML pages with embedded CSS, images, and Mermaid diagrams
Langue du texte source : anglais
Strip Markdown formatting and produce clean plain text via pandoc
Langue du texte source : anglais
Convert Markdown with Mermaid diagrams and SVG illustrations to professional Word documents
Langue du texte source : anglais
Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory
Langue du texte source : anglais
Step-back protocol — restate, generalise, specialise, invert, ask why, pre-mortem, check stakeholders, and audit framings before solving
Langue du texte source : anglais
Create prompts that pass prompt-review's five gates by construction — intent capture, slash-command naming, single-workflow scope, draft as numbered steps, dogfood self-review. Use when authoring a new prompt, refactoring an existing one, or promoting a Mall…
Langue du texte source : anglais
Audits a candidate prompt (.prompt.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence). Use when reviewing a new prompt draft before commit, evaluating a Mall prompt or store prompt for adoption, or re-auditing…
Langue du texte source : anglais
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. OWASP-aware, language-agnostic principles with TypeScript examples — applies to any feature that accepts untrusted data, manages user…
Langue du texte source : anglais
<≤300 chars, third-person, behavioral, names what + when (trigger phrases)>
Langue du texte source : anglais
Append a one-line entry to docs/ledgers/curation-log.md whenever a brain artifact is added, modified, or removed. Use when committing changes to .github/skills, .github/instructions, .github/prompts, or .github/agents.
Langue du texte source : anglais
Create skills that pass skill-review's five gates by construction — intent capture, prior-art scan, draft against gates, dogfood self-review. Use when authoring a new skill, refactoring an existing one, or adopting a Mall unit into this brain.
Langue du texte source : anglais
Audits a candidate skill (.github/skills/<name>/SKILL.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence). Use when reviewing a new skill draft before commit, evaluating a Mall unit or store skill for adoption,…
Langue du texte source : anglais
Create stakeholder-friendly project status updates and progress reports
Langue du texte source : anglais
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Four-phase root-cause-first method (investigate → pattern-analyze → hypothesize → implement) that beats guess-and-check thrashing.
Langue du texte source : anglais
Mermaid renders blank or garbled — diagnose silent failures in timeline, gitGraph, gantt; default to flowchart for arbitrary text
Langue du texte source : anglais