test-team-coordination
Über
Diese Fähigkeit führt vordefinierte Testszenarien gegen KI-Teams aus, um deren Koordinationsmuster und Leistung zu bewerten. Sie beobachtet Teamverhalten, prüft Akzeptanzkriterien und erzeugt strukturierte RESULT.md-Berichte. Nutzen Sie sie, um die Teamkoordination zu validieren, Muster bei äquivalenten Arbeitslasten zu vergleichen oder Leistungsbaselines für Teamzusammensetzungen zu erstellen.
Schnellinstallation
Claude Code
Empfohlennpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/test-team-coordinationKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren
Dokumentation
Test Team Coordination
Execute test scenario from tests/scenarios/teams/ against target
team. Observe coordination pattern behaviors, evaluate acceptance criteria,
score rubric, produce RESULT.md in tests/results/.
When Use
- Validate team's coordination pattern produces expected behaviors
- Run structured test after modifying team definition or agent
- Compare coordination patterns by running same scenario with different teams
- Establish baseline performance metrics for team composition
- Regression testing after adding new agents or changing team membership
Inputs
- Required: Path to test scenario file (e.g.,
tests/scenarios/teams/test-opaque-team-cartographers-audit.md) - Optional: Run ID override (default:
YYYY-MM-DD-<target>-NNNauto-generated) - Optional: Team size override (default: from scenario frontmatter)
- Optional: Skip scope change (default: false — inject scope change if defined)
Steps
Step 1: Load and Validate Test Scenario
1.1. Read the test scenario file specified in the input.
1.2. Parse YAML frontmatter and extract:
target— the team to testcoordination-pattern— the expected patternteam-size— number of members to spawn- Acceptance criteria table
- Scoring rubric (if present)
- Ground truth data (if present)
1.3. Verify the scenario file has all required sections:
- Objective
- Pre-conditions
- Task (with Primary Task subsection)
- Expected Behaviors
- Acceptance Criteria
- Observation Protocol
Got: Scenario file loads, parses, contains all required sections.
If fail: File missing or unparseable? Abort with error message identifying missing file or malformed section. Optional sections (Rubric, Ground Truth, Variants) absent? Note absence, continue.
Step 2: Verify Pre-conditions
2.1. Walk through each pre-condition checkbox in the scenario.
2.2. For file-existence checks, use Glob to verify.
2.3. For registry count checks, parse the relevant _registry.yml and compare total_* against actual file counts on disk.
2.4. For branch/git state checks, run git status --porcelain and git branch --show-current.
Got: All pre-conditions satisfied.
If fail: Any pre-condition fails? Record as BLOCKED in results. Decide whether to proceed (soft pre-condition) or abort (hard pre-condition like missing target team file). Document decision.
Step 3: Load Coordination Pattern Criteria
3.1. Read tests/_registry.yml and locate the coordination_patterns entry matching the scenario's coordination-pattern value.
3.2. Extract the key_behaviors list for this pattern.
3.3. These behaviors become the observation checklist — each must be watched for during execution and recorded as observed/not observed.
Got: Pattern key behaviors loaded, ready for observation.
If fail: Coordination pattern not defined in registry? Use scenario's Expected Behaviors section as sole observation source. Log warning.
Step 4: Execute Task
4.1. Create the result directory: tests/results/YYYY-MM-DD-<target>-NNN/.
4.2. Record T0 (task start timestamp).
4.3. Read the target team's definition from teams/<target>.md, extract the CONFIG block, and activate the team: call TeamCreate with the team name, spawn teammates using each member's subagent_type, and create tasks from the CONFIG tasks list. Use the team-size from the scenario. Pass the Primary Task prompt verbatim from the scenario's Task section.
4.4. Observe the team's execution phases. Record timestamps for:
- T1: Form assessment / task decomposition complete
- T2: Role assignments visible
4.5. If the scenario defines a Scope Change Trigger and skip-scope-change is false:
- Wait until Phase 2 (role assignment) is visible
- Record T3 (scope change injection timestamp)
- Send the scope change prompt to the team via SendMessage
- Record T4 (scope change absorbed — role adjustment visible)
4.6. Continue observing until the team delivers its output.
- Record T5 (integration begins)
- Record T6 (final report delivered)
4.7. Capture the team's complete output.
Got: Team executes task through coordination pattern phases. Timestamps recorded for all transitions. Scope change (if applicable) injected and absorbed.
If fail: Team fails produce output? Record failure point and any error messages. Team stalls? Note last observed phase and timeout. Proceed to evaluation with partial results.
Step 5: Evaluate Pattern Behaviors
5.1. For each key behavior from Step 3, determine whether it was observed during execution:
- Observed: Clear evidence in the team's output or coordination
- Partial: Some evidence but incomplete or ambiguous
- Not observed: No evidence
5.2. For each task-specific behavior from the scenario's Expected Behaviors section, apply the same evaluation.
5.3. Record findings in the observation log.
Got: All or most pattern-specific and task-specific behaviors observed.
If fail: Unobserved behaviors are findings, not failures of test procedure. Record accurately — they indicate coordination pattern did not fully manifest.
Step 6: Evaluate Acceptance Criteria
6.1. Walk through each acceptance criterion from the scenario.
6.2. For each criterion, assign a determination:
- PASS: Criterion clearly met with observable evidence
- PARTIAL: Criterion partially met (counts toward threshold at 0.5 weight)
- FAIL: Criterion not met despite opportunity
- BLOCKED: Could not evaluate (pre-condition failure, team timeout, etc.)
6.3. If the scenario includes Ground Truth data, verify reported findings against it:
- Calculate accuracy percentages per category
- Flag false positives and false negatives
6.4. If the scenario includes a Scoring Rubric, score each dimension 1-5 with brief justification.
6.5. Calculate summary metrics:
- Acceptance: X/N criteria passed (PARTIAL counts as 0.5)
- Threshold: PASS if >= threshold defined in scenario
- Rubric total: X/Y points (if applicable)
Got: All acceptance criteria have determination. Summary metrics calculated.
If fail: Fewer than half criteria can be evaluated (too many BLOCKED)? Test run inconclusive. Document why, recommend re-running after fixing pre-conditions.
Step 7: Generate RESULT.md
7.1. Create tests/results/YYYY-MM-DD-<target>-NNN/RESULT.md using the Recording Template from the scenario's Observation Protocol.
7.2. Populate all sections:
- Run metadata (observer, timestamps, duration)
- Phase log with all recorded timestamps
- Role emergence log (for adaptive/team tests)
- Acceptance criteria results table
- Rubric scores table (if applicable)
- Ground truth verification table (if applicable)
- Key observations (narrative)
- Lessons learned
7.3. Include the team's raw output as an appendix or in a separate file (team-output.md) in the same result directory.
7.4. Add a summary verdict at the top:
**Verdict**: PASS | FAIL | INCONCLUSIVE
**Score**: X/N criteria (Y/Z rubric points)
**Duration**: Xm
Got: Complete RESULT.md with all sections populated and clear verdict.
If fail: Result file cannot be written? Output results to stdout as fallback. Evaluation data should never be lost.
Checks
- Test scenario file loaded, all required sections present
- Pre-conditions verified (or documented as BLOCKED)
- Coordination pattern key behaviors loaded from registry
- Team spawned, task delivered
- Scope change injected at right time (if applicable)
- All pattern-specific behaviors evaluated (observed/partial/not observed)
- All acceptance criteria have determination (PASS/PARTIAL/FAIL/BLOCKED)
- Ground truth verification completed (if applicable)
- RESULT.md generated with all sections populated
- Summary verdict calculated and recorded
Pitfalls
- Evaluate output quality instead of coordination: This skill tests how team coordinates, not whether task output is perfect. Team that coordinates well but finds only 7/9 broken refs still demonstrates pattern.
- Inject scope change too early: Wait until role assignment clear visible before injecting scope change. Too early means team hasn't differentiated yet, so nothing to adapt.
- Conflate team member output with team output: Opaque team should present unified output. See individual member reports? That's finding about opacity, not test infrastructure problem.
- Exact ground truth matching: Ground truth counts approximate. Evaluate whether findings in right ballpark, not whether they match exact.
- Forget to record timestamps: Timestamps essential for measuring phase durations and adaptation speed. Set as events happen, not retroactive.
See Also
review-codebase— deep codebase review complements team-level testingreview-skill-format— validates individual skill format (this skill validates team coordination)create-team— creates team definitions that this skill testsevolve-team— evolves team definitions based on test findingstest-a2a-interop— similar testing pattern for A2A protocol conformanceassess-form— morphic assessment that opaque team lead uses internal
GitHub Repository
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