Content
71%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A dense, highly actionable design skill with a clear step sequence and strong project-specific constraints, held back mainly by structure: all working templates are inlined in one long file with no reference files, and a few code fragments are elided pseudocode. Adding a pre-handoff completeness check would round out the workflow.
Suggestions
Split the long code templates into one-level-deep reference files (e.g., references/eval-suite-template.md and references/observability-wrapper.md), keeping only the key rules and a compact example of each in SKILL.md, to improve progressive disclosure.
Complete the pseudocode fragments in the observability wrapper (compute_cost(...), the PII-sanitized trace payload, the timeout/fallback elision) and add the imports for load_persona/load_rubric/agentic_eval_runner so the eval template is copy-paste runnable.
Add an explicit final validation step before handoff (e.g., 'verify every section of docs/specs/templates/03-arch-template.md is filled in 03-arch-agentic.md; if gaps, fix before outputting done') to close the workflow's feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is telegraphic and template-dense with no explanations of concepts Claude already knows; every section carries project-specific rules or code. Minor trimming is possible: the Anti-patterns section restates rules already given inline ('MemorySaver en producción', 'Cache prefix con timestamps/conversation_id', 'Tools sin tenant_id', 'Tools llamando raw repos'), which is slightly redundant. | 4 / 5 |
Actionability | Mostly executable guidance: concrete Pydantic tool defs, AgentState TypedDict with reducers, AsyncPostgresSaver setup, a runnable pytest eval with a hard 'pass_k >= 0.5' assertion, exact grep paths, and an exact handoff path. A few fragments remain pseudocode or unresolved: '# ... timeout + fallback ...' and 'compute_cost(...)' in the observability wrapper, '{ ... PII sanitized ... }' in the trace emit, and 'load_persona'/'load_rubric'/'agentic_eval_runner' used without imports in the eval template. | 4 / 5 |
Workflow Clarity | Clear Step 0-4 sequence with a HARD GATE for skill loading, a conditional Step 3 (default-flip detection), explicit graph-safety exit conditions ('Conditional edges total — every branch reaches END. Max-iter exit explicit.'), and an exact output path. Missing one checkpoint: there is no explicit validation that the produced 03-arch-agentic.md is complete against the 03-arch template before handoff, i.e. no verify-and-fix loop on the artifact itself. | 4 / 5 |
Progressive Disclosure | The file is well-sectioned and navigable, but it is a 243-line single file with no bundle files at all; ~150 lines of code templates (tool defs, LangGraph state, checkpointer, eval suite, observability wrapper) are inlined where a leaner SKILL.md with one-level-deep references (e.g., an eval-template or observability-wrapper reference) would fit the progressive-disclosure model better. | 3 / 5 |
Total | 15 / 20 Passed |