Jinja expert
Author, read, and debug Jinja2 templates across the three places Jinja lives in 2026 — HuggingFace `chat_template.jinja` (rendered by `apply_chat_template` for vLLM / sglang), Ansible playbooks + `.j2` files, and Jinja-adjacent Kubernetes workflows (`values.yaml.j2`, `kubernetes.core.k8s + template`, Helm post-renderers). Companion to the `helm` skill — Helm charts are Go `text/template` + Sprig, not Jinja, and this skill makes that disambiguation explicit.From its SKILL.md
npx -y skills add air-gapped/skills --skill jinja-expertAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
11.5 KB, ~2.6k tokens by cl100k_base, as published. Nobody here has run it
Jinja Expert
Boundary with transformers-config-tokenizers-expert (same dev plugin).
Both skills touch chat_template.jinja, from opposite sides. This one owns the
template as Jinja — syntax, scoping, filters, whitespace, why the render is
wrong. That one owns which file wins and what the loader does with it:
tokenizer_config.json vs chat_template.jinja precedence, structural tokens,
which class actually instantiates. "My template renders the wrong text" is
here; "my template isn't the one being used" is there.
Jinja2 shows up in three mostly-disjoint ecosystems in 2026. Each has its
own dialect — different sandbox, different extensions, different filters,
different failure modes. Using chat-template idioms in an Ansible playbook
will silently misbehave. Using Ansible !unsafe in a chat template is a
syntax error. This skill is the map.
Which dialect am I in?
Pick the row that matches the file under review. The rightmost column points to the next file to read.
| Signal | Dialect | Go to |
|---|---|---|
File named chat_template.jinja; apply_chat_template, tokenizer_config.json, vLLM/sglang in play; messages/tools/add_generation_prompt in scope | HF chat template (sandboxed, loopcontrols, tojson ensure_ascii=False) | references/chat-template/ |
File ends in .j2; inside an Ansible playbook/role/collection; {{ ansible_managed }}, hostvars, lookup(...), ` | default(omit); when:` bare expressions | Ansible Jinja (recursive templating, native-types flag, !unsafe) |
values.yaml.j2 / deployment.yaml.j2 feeding Helm or kubectl; jinja2-cli; community.kubernetes.helm / kubernetes.core.k8s; ArgoCD config management plugin | Helm-adjacent Jinja (Jinja around Helm, not inside) | references/helm-and-jinja.md |
File inside a Helm chart (templates/*.yaml, _helpers.tpl, Chart.yaml); {{ .Values.x }}, {{ toYaml ... }}, {{ include "mychart.name" . }}, Sprig functions | Go text/template + Sprig — not Jinja | Reach for the helm skill instead |
Syntax looks like {{ }} but something else — .gotmpl, helmfile.yaml, Flask, Saltstack state, dbt model, Home Assistant config | Not covered here; use the core-language cheatsheet | references/language-surface.md + upstream docs |
When the dialect is uncertain, start at references/language-surface.md —
dialect-neutral, covers the statements, expressions, filters, tests,
globals, and whitespace rules shared by every Jinja deployment.
Quick decision guide (chat-template default)
Chat templates are the dialect most likely to bring someone here, so the body below stays biased toward them. When the task is Ansible or Helm-adjacent, branch to the matching reference and ignore the rest.
| Task | Go to |
|---|---|
| Look up a statement, filter, test, or global | references/language-surface.md |
Understand the exact env apply_chat_template builds | references/chat-template/transformers-dialect.md |
| Diagnose a specific category of chat-template bug | references/chat-template/seven-failure-categories.md |
| Write a new chat template (or patch an existing one) | references/chat-template/authoring-patterns.md |
| Find a "clean" chat template to study, or a broken one to learn from | references/chat-template/exemplars-and-antiexemplars.md |
| Debug a chat template or set up coverage/parity testing | references/chat-template/debugging-and-testing.md |
Write Ansible playbooks or .j2 files — filters, lookups, !unsafe, native types, k8s manifests | references/ansible-dialect.md |
Jinja around Helm — values.yaml.j2, raw manifests, post-renderers, the Helm-is-Go disambiguation | references/helm-and-jinja.md |
Author a Helm chart (Go templates, _helpers.tpl, Sprig) | cross to the helm skill |
The chat-template dialect at a glance
Every chat template in the HuggingFace ecosystem is rendered through an
ImmutableSandboxedEnvironment (trim_blocks=True, lstrip_blocks=True,
loopcontrols extension loaded, tojson filter forced to
ensure_ascii=False, raise_exception + strftime_now globals). vLLM
and sglang both delegate to tokenizer.apply_chat_template, so the
sandbox is the whole surface. .append / .pop / .update raise
SecurityError; ext.do / ext.i18n / ext.debug are NOT loaded.
Variables in scope: messages, tools, documents,
add_generation_prompt, all special_tokens_map entries, date_string,
plus caller chat_template_kwargs.
Full env config, sandbox rules, and canonical skeleton →
references/chat-template/transformers-dialect.md (env) and
references/chat-template/authoring-patterns.md (skeleton).
The seven chat-template failure categories
Roughly 90% of real chat-template bugs. Templates written against these defensive idioms survive the next model release.
| # | Category | Symptom | Defensive idiom |
|---|---|---|---|
| 1 | Content-format bifurcation | Template assumes content is a string; caller passes a list of parts. Python repr of the list lands in the prompt. | Branch is string → else is sequence and is not string → else is mapping → catch-all. Never isinstance. |
| 2 | Loop-scope escape | {% set flag = true %} inside {% for %} doesn't persist after the loop. | {% set ns = namespace(flag=false) %} then {% set ns.flag = true %}. |
| 3 | add_generation_prompt bimodal | Template hardcodes the assistant primer, breaking training; or reads the flag via **kwargs, so vLLM's AST detection can't see it. | Explicit {% if add_generation_prompt %} at the tail; render both modes in tests and diff. |
| 4 | Tool-call shape variance | tool_call.function.arguments is sometimes a JSON string, sometimes a dict. tool_call.id is optional. Unguarded access crashes. | `{{ args if args is string else args |
| 5 | Whitespace control | Stray \n before `< | im_start |
| 6 | Special-token doubling | BOS emitted by tokenizer (add_bos_token=True) AND by template ({{ bos_token }}) → double BOS. | Emit BOS in exactly one place. Check tokenizer_config.json before adding {{ bos_token }}. |
| 7 | Sandbox mutation attempts | .append, .pop, .update raise SecurityError. {% do x.append(...) %} doesn't parse (ext.do not loaded). | namespace() for accumulators; filter chains (selectattr, map, join) for transformations. |
Full examples, before/after code, canonical skeleton, and real-world
incidents → references/chat-template/seven-failure-categories.md +
references/chat-template/authoring-patterns.md.
The Ansible dialect at a glance
Ansible is the largest Jinja-in-production deployment outside web frameworks.
It adds a long list of things to stock Jinja — recursive templating, lazy
variable resolution, the !unsafe tag, native-types mode, hostvars,
conditional expressions without delimiters (when:, failed_when:,
changed_when:, until:), custom filter/test/lookup plugins, and a 22-level
variable precedence system. None of it lives in Pallets Jinja.
Four rules carry most of the distance:
when:takes a bare expression, not a Jinja template.when: "{{ foo }}"is always wrong; writewhen: foo. Same forfailed_when:,changed_when:,until:.!unsafeis all-or-nothing. It disables templating for the whole value — including lookups. For mixed literal + templated content, use{% raw %}...{% endraw %}.- Recursive templating amplifies errors. A variable whose value is itself Jinja-looking renders again. An undefined reference in round-two produces an error message that mentions neither round.
| default(omit)removes a task parameter entirely. The idiomatic way to make a parameter conditional without duplicating task definitions.
Everything else (filters, lookups, kubernetes.core.k8s + template,
custom plugins, ansible_managed, debugging with ansible-playbook --check --diff, j2lint, ten gotchas) → references/ansible-dialect.md.
Helm and Jinja — what really runs where
Helm charts do not use Jinja. They use Go's text/template + Sprig. Any
{{ ... }} inside a chart is Go syntax. The two languages look identical
for the first ten seconds and diverge hard after that — . semantics,
pipe argument shape (default 3 vs default(3)), Sprig's toYaml /
required / lookup, range rebinding. Chart authoring is owned by the
helm skill, not this one.
Where Jinja does show up in Kubernetes workflows:
- Ansible wraps Helm —
values.yaml.j2rendered by Ansible, installed viacommunity.kubernetes.helm. Most common pattern. jinja2-clipreprocessor — same shape without Ansible. Makefile or CI step rendersvalues.yaml.j2→values.yaml, thenhelm upgrade --install.- Raw Jinja manifests, no Helm — small apps or air-gapped sites.
Ansible
kubernetes.core.k8swithtemplate: path/to.j2. - Helm post-renderer chained with Jinja — niche; kustomize is usually the better fit here.
- kluctl — actually Jinja-native for Kubernetes GitOps. One of the few 2026 tools that isn't Go underneath.
helm-jinjaplugins — historically tried to swap Helm's engine; never thrived. Don't adopt in 2026. Use patterns 1/2/3 instead.
Full patterns, decision matrix, and the ten Go-vs-Jinja gotchas (default
arity, . scope, toYaml, required vs mandatory, lookup, CRD
ordering, genCA / genSignedCert, whitespace trim, double-templating)
→ references/helm-and-jinja.md.
Out of scope
Generic Flask web templating, custom ext.Extension authoring, async Jinja
(enable_async), bytecode caching, custom loaders, and Helm chart authoring
itself (Go text/template + Sprig — use the helm skill). For anything
in this list, the Pallets docs at https://jinja.palletsprojects.com/ are
authoritative for the core language.
What ships with it: 11 files
135.5 KB alongside SKILL.md
evals/
- evals.json7.0 KB
references/
- ansible-dialect.md20.5 KB
- chat-template/authoring-patterns.md14.2 KB
- chat-template/debugging-and-testing.md13.1 KB
- chat-template/exemplars-and-antiexemplars.md10.5 KB
- chat-template/seven-failure-categories.md15.3 KB
- chat-template/transformers-dialect.md15.0 KB
- helm-and-jinja.md18.9 KB
- improvement-backlog.md4.3 KB
- language-surface.md11.3 KB
- sources.md5.4 KB
Gives 0 of the 12 instructions most containers cloud skills give in ~2.6k tokens
Counted across 607 of the 705 authors here whose files we hold, read 2026-09-06
- Run as non-root userin 34 of 607, across 27 files
- Use multi-stage buildsin 29 of 607
- Set resource requests and limitsin 24 of 607, across 20 files
- Configure liveness and readiness probesin 18 of 607, across 14 files
- Use named volumes for persistent datain 14 of 607, across 9 files
- Pin base image versionsin 14 of 607
- Set up environment variablesin 14 of 607, across 10 files
- Pin provider versionsin 14 of 607
- Apply least privilege RBAC permissionsin 10 of 607, across 7 files
- Create a dockerignore filein 10 of 607
- Use remote state with lockingin 9 of 607
- Pin base images by digestin 9 of 607, across 8 files
Said here and by no other author read
- Branch based on the dialect of the file under review
- Use namespace for mutable variables inside loops
- Explicitly check add_generation_prompt at the tail
- Guard tool-call argument access against variance
- Use trim_blocks and lstrip_blocks for whitespace control
- Emit the BOS token in exactly one place
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.