Name: parallel-agent-spawner
Rating: 58.4 (1 reviews)
Author: fernandezbaptiste

parallel-agent-spawner

Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.

Quality

68%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/parallel-agent-spawner/SKILL.md

The canonical home for this skill is parallel-agent-spawner in fernandezbaptiste/Skrillz

Quality

Content

57%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is actionable and reasonably structured, but it is padded by a decorative ASCII diagram and lacks validation checkpoints for a batch operation. More critically, several referenced bundle files are missing, breaking progressive disclosure.

Suggestions

Remove or shrink the ASCII "PARALLEL EXECUTION" diagram to reclaim tokens; the Agent Types table and code already convey the model.

Add a validation/retry checkpoint after wait_all (e.g., inspect failed agents and retry per retry_failed) so the batch workflow clears the workflow_clarity cap.

Create the missing references/PARALLELIZATION-STRATEGY.md and references/CONFLICT-RESOLUTION.md files, or remove those reference links; also add the missing scripts/agent_pool.py or drop it from the Scripts list.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with useful tables and code, but the large ASCII "PARALLEL EXECUTION" diagram (~26 lines) is decorative padding that does not earn its tokens, fitting the mostly-efficient-with-some-unnecessary-content anchor.	3 / 5
Actionability	Provides mostly executable Python (ParallelSpawner import, spawn_parallel, wait_all, get_results_summary, SpawnConfig dataclass) tied to a real script, with minor gaps such as the undefined project_dir variable.	4 / 5
Workflow Clarity	A rough sequence exists (spawn, wait_all, get_results_summary) but validation/verification checkpoints are absent; because spawning parallel agents is a batch operation, the missing-feedback-loop cap holds this at 3 rather than higher.	3 / 5
Progressive Disclosure	Section structure is reasonable, but referenced detail files do not exist: references/PARALLELIZATION-STRATEGY.md and references/CONFLICT-RESOLUTION.md point to a missing references/ directory, and scripts/agent_pool.py is also absent, so navigation hits dead ends.	3 / 5
	Total	13 / 20 Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is well-formed: third-person voice, explicit what and when clauses, and concrete trigger phrases. Its main weakness is that the named actions (spawn, coordinate) are somewhat generic rather than richly specific.

Dimension	Reasoning	Score
Specificity	Names the domain and two concrete actions ("Spawn and coordinate parallel agents"), but the actions are generic and not comprehensive, matching the 1-2 concrete actions anchor rather than the several-specific-actions anchor at 4.	3 / 5
Completeness	Clearly answers both what ("Spawn and coordinate parallel agents for faster completion") and when ("Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput") with concrete trigger phrases, matching the explicit what-and-when anchor.	5 / 5
Trigger Term Quality	Good keyword coverage with natural terms users would say ("parallel tasks", "spawning subagents"), though more technical phrases like "coordinating concurrent work" and "optimizing throughput" are less colloquial, leaving a few natural synonyms missing.	4 / 5
Distinctiveness Conflict Risk	The parallel-agent orchestration niche is mostly distinct with specific triggers, but there is minor overlap risk with general coding/agent skills, fitting the mostly-distinct anchor below the clear-niche 5.	4 / 5
	Total	16 / 20 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 3 missing	Warning

	Total	14 / 16 Passed

Repository: fernandezbaptiste/Skrillz
Path: .claude/skills/parallel-agent-spawner/SKILL.md
Commit: 93ed392

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.