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ftitos-claude-code
ftitos-claude-code contiene 16 skills recopiladas de nassimbf, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Beads work ledger — hash-ID tasks, atomic bd update --claim, dependency-aware bd ready, intent memory bd remember/prime. PAUL emits beads instead of markdown phases.
Gate 3 verification — permission-denied holdout scenarios, write-tool-less reviewers, evidence files over self-report, veto-rate logging.
Unified bi-temporal knowledge graph over GBrain (PostgreSQL/pgvector) and Graphify (NetworkX/tree-sitter). Treats both stores as a single citation-addressable graph. Query with `brain query --unified "topic"`.
Advanced Engram patterns — progressive disclosure index→timeline→full-fetch (~10x token savings), citation IDs, Seance (interrogate dead predecessors), temporal search.
Golden task eval harness — 20 deterministic tasks with checks.py, 5-run protocol, judge calibration, CI gate on >0.3 regression vs baseline. SWE-smith for auto-generation.
Two-mode loop system — in-session /goal evaluation and overnight fresh-context runner with dual exit gate, circuit breaker, error gate, and relay notes.
Trail-of-Bits two-phase mutmut campaign — targeted first, survivors get full suite, skeptical-agent rule on survivor killing.
Delta-specs against a living source-of-truth — brownfield-native, EARS acceptance criteria, blind-judge verifiable. Use when adding or changing a feature in an existing codebase that already has documented behavior. Produces ~1/3 the markdown of a full spec-kit spec by expressing only what changes.
Anthropic red-team PBT recipe — infer invariants, write Hypothesis tests, reflect before fixing counterexamples.
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Reviews code changes using CodeRabbit AI. Use when user asks for code review, PR feedback, code quality checks, security issues, or wants autonomous fix-review cycles.
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Use this skill to validate the "why" before building, run product diagnostics, and convert vague ideas into specs. Includes YC-style forcing questions, founder review, user journey audit, and feature prioritization.
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.