Every section earns its place. No explanation of what traceability is in abstract terms—jumps straight to the chain diagram and matrix structure. The 'Do not' section is tight and actionable, not padded.

Provides complete, executable Python code for matrix generation, concrete table formats, specific conventions (@pytest.mark.req, # REQ-X.Y comments), and a full worked example. Copy-paste ready.

Clear numbered steps for both forward and backward tracing. Explicit validation through the Status column (✓/⚠/❌), CI regeneration requirement, and the 'Do not let it rot' guidance creates a feedback loop for maintaining accuracy.

Well-structured with clear sections (chain, structure, forward trace, backward trace, worked example, output format). References requirement-coverage-checker for related techniques. Content is appropriately scoped for a single skill file without needing external splits.

Lists multiple specific concrete actions: 'Builds a bidirectional traceability matrix', 'linking requirements to design elements, code, and tests', 'traces forward to implementation', 'traces back to justification'. These are concrete, actionable capabilities.

Clearly answers both what (builds bidirectional traceability matrix linking requirements to design/code/tests) AND when ('Use for compliance audits, when answering why a piece of code exists, or when checking that nothing was built without a reason'). Explicit 'Use for' clause present.

Includes natural keywords users would say: 'traceability matrix', 'requirements', 'compliance audits', 'why a piece of code exists', 'tests'. The phrase 'why a piece of code exists' is particularly natural language a user might use.

Highly distinctive niche - 'bidirectional traceability matrix' is a specific concept unlikely to conflict with other skills. The combination of requirements, compliance, and code justification creates a clear, unique domain.