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fluentbit-generator

Generates, validates, and optimizes Fluent Bit configurations for production use. Use when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), configuring Kubernetes log collection with metadata enrichment, forwarding logs to destinations (Elasticsearch, Loki, S3, Kafka, CloudWatch, OpenTelemetry), building multi-line log parsing, or converting existing logging configurations to Fluent Bit.

71

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

77%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 delivers an excellent actionable four-step workflow with copy-paste configs and explicit validation loops, and it never wastes tokens explaining concepts Claude already knows. Its two weaknesses are token duplication — large config catalogs inlined that already exist as bundle files — and progressive disclosure: the body references an `examples/` directory that does not exist (files are in `assets/`), leaving its main pointer-style references unresolvable.

Suggestions

Fix the broken reference paths: replace `examples/` with `assets/` throughout the body and the References table (`assets/*.conf`, `assets/parsers.conf`), so readers can actually find the 14 production configs that exist in the bundle.

Cut the eight inline OUTPUT pattern blocks (and trim the FILTER catalog) down to 2-3 representative patterns and point to `assets/<use-case>.conf` for the rest — the full configs already exist there, so the inline copies cost ~100 lines of tokens for no added coverage.

Decide what `references/output/` (k8s-errors-elasticsearch.conf, parsers.conf) is for: either reference it from the body where it is relevant or remove it, since it is currently undiscoverable and partially duplicates `assets/parsers.conf`.

DimensionReasoningScore

Conciseness

The body is dense and assumes Fluent Bit knowledge (no concept explanations), but ~150 lines of full config blocks — the ~80-line manual template plus eight complete OUTPUT patterns and five FILTER patterns — duplicate configurations that already exist as bundle files in `assets/` (e.g., `kubernetes-elasticsearch.conf`, `loki`, `s3`, `kafka`, `cloudwatch`, `opentelemetry`, `multi-destination`). Not 4: the inline pattern catalog is substantial duplication that could be cut by pointing at the existing example files; not 2: what is written is high-signal, not padded prose or explanation of known concepts.

3 / 5

Actionability

Fully executable throughout: exact script invocations (`python3 scripts/generate_config.py --use-case kubernetes-elasticsearch --output fluent-bit.conf`, verified against the script's actual argparse choices), complete copy-paste INI blocks with production-realistic values, concrete plugin-doc lookup commands, and a specific delivery checklist. Not 4: commands and configs cover the common cases end-to-end with no gaps requiring improvisation.

5 / 5

Workflow Clarity

The four-step workflow (Gather Requirements → Generate → Validate → Communicate) is clearly sequenced with an explicit validation checkpoint in Step 3 (syntax checklist plus invoking `fluentbit-validator`) and a feedback loop: "Fix any reported issues and re-validate until all checks pass." Not 4: both explicit validation steps and an error-recovery loop are present, and Step 1's "Use AskUserQuestion if key information is missing" handles the upstream gap.

5 / 5

Progressive Disclosure

Section structure and navigation signaling are good (clear headers, a References table, a correct `scripts/generate_config.py` path), but the body's primary references point to a nonexistent `examples/` directory ("Read the closest example from `examples/`", `examples/parsers.conf`, and the References table's `examples/*.conf`) — the actual files live in `assets/` (14 configs including `parsers.conf`), so a reader following the skill cannot resolve the paths; the `references/output/` bundle files are never mentioned, and the inlined OUTPUT/FILTER catalogs duplicate what should stay in those files. Not 4: broken reference paths are a navigation failure beyond "minor organization gaps"; not 2: the SKILL.md itself is well structured with sections and a working script reference rather than minimal or monolithic.

3 / 5

Total

16

/

20

Passed

Description

96%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 a strong anchor-5 example in structure: third person, concrete verb-led capabilities, and an explicit multi-scenario "Use when..." clause with natural trigger vocabulary. The only weakness is that the "validates" capability overlaps the adjacent fluentbit-validator skill without a scope carve-out.

DimensionReasoningScore

Specificity

"Generates, validates, and optimizes Fluent Bit configurations" plus concrete specifics — "INPUT, FILTER, OUTPUT sections", "Kubernetes log collection with metadata enrichment", "multi-line log parsing", "converting existing logging configurations" — lists multiple concrete actions with comprehensive coverage. Not 4: there are no meaningful coverage gaps; every named sub-capability is a distinct concrete action.

5 / 5

Completeness

Explicitly answers both questions: the "what" is "Generates, validates, and optimizes Fluent Bit configurations for production use" and the "when" is a literal "Use when..." clause with concrete trigger phrases. Not 4: the when-clause is not merely present but enumerates six specific triggering scenarios, matching the anchor-5 example structure exactly.

5 / 5

Trigger Term Quality

Natural user phrasing is comprehensively covered: "Fluent Bit configs", "log collection pipelines", "Kubernetes log collection", "forwarding logs", destination names users would actually say ("Elasticsearch, Loki, S3, Kafka, CloudWatch, OpenTelemetry"), "multi-line log parsing". Not 4: the trigger vocabulary spans creation, pipeline building, forwarding, parsing, and conversion, leaving no significant natural-term gaps.

5 / 5

Distinctiveness Conflict Risk

"Fluent Bit" is a clear, named niche with distinct triggers (K8s log collection, named output destinations), but the claim "validates... configurations" overlaps with the sibling `fluentbit-validator` skill that the body routes existing-config validation to, creating minor conflict risk. Not 5: the description does not carve validation of existing configs out of its scope; not 3: the overlap is with one closely related skill, not a broad class.

4 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
pantheon-org/tekhne
Reviewed

Table of Contents

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