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Skills IA Entreprise

Découvrez les skills Entreprise, comparez leurs dépôts et consultez leurs instructions.

Catégories: Entreprise

53,017–53,040 sur 81,576

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GitHub

defense-in-depth

krzemienski

Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through using Shannon validation gates to make bugs structurally im...

GitHub

honest-reflections

krzemienski

Systematic gap analysis for claimed vs actual work completion. Uses 100+ sequential thoughts to identify assumptions, partial completions, missing components, and rationalization patterns. Validates completion...

GitHub

security-pattern-detection

krzemienski

Detect OWASP Top 10 vulnerabilities via static analysis. Calculate security score (0.00-1.00) for code quality. Auto-generate remediation suggestions with implementation examples. Integrate with Serena for vuln...

GitHub

testing-anti-patterns

krzemienski

Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without unders...

GitHub

phase-planning

krzemienski

Generate 5-phase implementation plan with validation gates and resource allocation. Adapts phase count and timeline based on complexity score. Includes validation gates between phases. Use when: planning implem...

GitHub

sitrep-reporting

krzemienski

Military-style SITuation REPort protocol for multi-agent coordination. Enforces structured status reporting with 🟢🟡🔴 codes, quantitative progress (0-100%), blockers, dependencies, ETAs, and authorization cod...

GitHub

project-indexing

krzemienski

Generates SHANNON_INDEX for 94% token reduction (58K → 3K tokens). Compresses large codebases into structured summaries with Quick Stats, Tech Stack, Core Modules, Dependencies, Recent Changes, and Key Patterns...

GitHub

dispatching-parallel-agents

krzemienski

Use for 3+ independent failures - dispatches parallel subagents with Shannon wave coordination, success scoring (0.00-1.00) per domain, and MCP result aggregation

GitHub

condition-based-waiting

krzemienski

Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state changes, eliminating flaky tests with q...

GitHub

writing-skills

krzemienski

Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation with Shannon quantitative validation by testing with subagents before wri...

GitHub

mutation-testing

krzemienski

Verify test quality by injecting mutations into code and measuring catch rate. Calculate mutation score (0.00-1.00) showing test effectiveness. Auto-generate missing tests to improve coverage. Integrate with Se...

GitHub

testing-skills-with-subagents

krzemienski

Use before skill deployment to verify pressure resistance via TDD RED-GREEN-REFACTOR cycle with Serena metrics tracking - measures compliance score (0.00-1.00) across pressure scenarios

GitHub

executing-plans

krzemienski

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically with Shannon quantitative analysis, executes tasks in complexit...

GitHub

exec

krzemienski

Autonomous task execution with library discovery, 3-tier validation, and atomic git commits. Integrates with Shannon CLI Python modules for platform-specific execution. Invokes /shannon:wave for code generation...

GitHub

memory-coordination

krzemienski

Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prev...

GitHub

skill-discovery

krzemienski

Use when needing to discover available skills across project/user directories - automatically scans for SKILL.md files, parses YAML frontmatter, extracts metadata (name, description, type, MCP requirements), an...

GitHub

performance-regression-detection

krzemienski

Track performance benchmarks and detect regressions exceeding 10% threshold. Analyze historical trends and alert on degradation. Calculate regression score (0.00-1.00) for performance health. Integrate with Ser...

GitHub

verification-before-completion

krzemienski

Use when about to claim work is complete, fixed, passing, or successful, before committing or creating PRs - requires running verification commands and confirming output before making ANY success claims; eviden...

GitHub

shannon-analysis

krzemienski

FLEXIBLE skill orchestrating comprehensive analysis workflows. Adapts to analysis type (codebase, architecture, technical debt, complexity) and automatically invokes appropriate sub-skills (spec-analysis, proje...

GitHub

finishing-a-development-branch

krzemienski

Use at development completion - guides branch integration with Shannon 3-tier validation (0.00-1.00 readiness score), MCP merge pattern analysis, and Serena risk assessment

GitHub

mcp-discovery

krzemienski

Intelligent MCP server recommendation engine based on quantitative domain analysis. Maps project domains (Frontend %, Backend %, Database %, etc.) to appropriate MCP servers using tier-based priority system (Ma...

GitHub

root-cause-tracing

krzemienski

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack with quantitative tracking, adding instrumentation when n...

GitHub

context-restoration

krzemienski

Restore previous session state from Serena MCP checkpoints. Retrieves checkpoint by ID or auto-selects most recent, deserializes context, restores command/skill/phase/wave state. Use when: resuming after contex...

GitHub

spec-analysis

krzemienski

8-dimensional quantitative complexity analysis with domain detection. Analyzes specifications across structural, cognitive, coordination, temporal, technical, scale, uncertainty, dependency dimensions producing...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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