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Cross-team dependency tracking with critical path analysis and Mermaid dependency graphs for program coordination.
Passed 16 of 22 test cases with the skill, and 8 of 22 without it.
and 7 more in the full report
8 fixed8 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to quickly test the Python dependency analyzer script to output a sample markdown report without supplying an input JSON file first. Which CLI command flag triggers sample demonstration output?
| Checked | Without skill | With skill |
|---|---|---|
| The recommended command specifies python scripts/dependency_graph.py --demo --format markdown. | Missed | Passed |
The instructions your model reads when the skill loads.
Dependency tracking for multi-team initiatives: who is blocking whom, what is on the critical path, what is at risk, and what to coordinate this week. The output is a Mermaid dependency diagram, a critical-path list, a risk-ordered blocker list, and a weekly cross-team sync agenda -- all generated from a single JSON file you maintain instead of a sprawling spreadsheet.
Most cross-team programs fail at dependency management, not execution. The teams individually do good work; the gaps are at the seams. This skill makes those seams visible, prioritizes them by criticality, and produces the communication artifacts that keep them visible week over week. The underlying model uses the Critical Path Method (CPM, Kelley and Walker, 1959) for sequencing, optional DSM (Design Structure Matrix) thinking for cluster identification, and Conway's Law (Conway, 1968) framing for the organizational source of recurring dependency patterns. All outputs follow the six standard PM formats per SHARED_OUTPUT_SCHEMA.md.
graph LR rendering plus a weekly cross-team sync agenda.program-manager/).When NOT to use: single-team backlogs (use wwas/ or job-stories/), pure technical dependencies inside one codebase (use Git), or stakeholder relationships (use senior-pm/stakeholder_mapper.py).
Before mapping dependencies, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.