Setup Workspace
probabl-ai/skills
Detect an existing ML workspace or scaffold a fresh one via python -m skoreskills scaffold --package <pkg.
Collects and verifies App Store Connect analytics report segments with the asc CLI, checking size and MD5 before handing them off for analysis.
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reports --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/asc-analytics-reports .claude/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .claude/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reportsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reports --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/asc-analytics-reports .agents/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .agents/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reports --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/asc-analytics-reports .cursor/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .cursor/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rorkai/app-store-connect-cli-skills.git --path skills/asc-analytics-reports--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reports --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/asc-analytics-reports .gemini/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .gemini/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reportsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/asc-analytics-reports .github/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .github/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rorkai/app-store-connect-cli-skills asc-analytics-reports --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rorkai/app-store-connect-cli-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/asc-analytics-reports .opencode/skills/asc-analytics-reports && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "asc-analytics-reports" agent skill from https://github.com/rorkai/app-store-connect-cli-skills/tree/main/skills/asc-analytics-reports into .opencode/skills/asc-analytics-reports/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "asc-analytics-reports", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
asc-analytics-reportsCollects and verifies App Store Connect analytics report segments with the asc CLI, checking size and MD5 before handing them off for analysis.
It first checks that the installed `asc` CLI's `analytics view --help` lists `--processing-date`, `--granularity`, `--paginate` and `--include-segments`, flags that need asc 3.5.0 or newer, and refuses to fall back to the deprecated `--date` flag because it matches locally rather than by Apple's server-side processing date.
A private, owner-only temporary directory outside the repository is prepared before touching any data, and an existing analytics request is preferred over creating a new one, since creation changes App Store Connect state and needs an admin-authorized profile plus explicit approval. Every segment is downloaded through `asc analytics download` rather than fetching signed URLs directly, and the skill will not claim the collection is complete if a segment is missing or fails its size and MD5 check. It only collects and verifies; interpreting the report contents is left to a separate workflow.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9c7e769. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqopensslFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
App Store Connect Analytics Collector loads about 1.9k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 786 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from rorkai/app-store-connect-cli-skills at commit 9c7e769, republished under its MIT licence (© rorkai). 786 words, ~1,909 tokens.
.claude/skills/asc-analytics-reports/SKILL.md (or your agent's skills folder).Collect a complete set of analytics report segments and verify the compressed files before handing them to a separate analysis workflow. Do not interpret, aggregate, or present the report contents as part of this skill.
asc analytics request.asc analytics download; do not fetch or persist signed segment URLs
separately.Inspect the installed command before authentication or collection:
asc analytics view --helpContinue only when help lists --processing-date, --granularity,
--paginate, and --include-segments. These filters require asc 3.5.0 or
newer. If either filter is absent, ask the user to upgrade. Do not substitute
the deprecated --date flag because it uses legacy local matching rather than
Apple's server-side processing-date filter.
Create a private temporary directory outside the repository before capturing JSON or downloading segments:
umask 077
ASC_ANALYTICS_DIR="$(mktemp -d "${TMPDIR:-/tmp}/asc-analytics.XXXXXX")"
mkdir -m 700 "$ASC_ANALYTICS_DIR/segments"Redirect command output and errors into this directory. Do not paste raw inventory JSON or error output into chat, commits, issues, or pull requests.
Resolve the app ID and selected asc profile, then list every request:
asc --profile "$PROFILE" analytics requests \
--app "$APP_ID" \
--paginate \
--output json \
> "$ASC_ANALYTICS_DIR/requests.json" \
2> "$ASC_ANALYTICS_DIR/requests.stderr"Inspect the JSON structurally and select an existing usable request. Do not rely
on --state when discovery works without it. If no usable request exists, stop
and ask whether the user wants to create ONGOING or ONE_TIME_SNAPSHOT
access. State the target app and profile before requesting approval. After
approval, prefer --reuse-existing to avoid duplicates:
asc --profile "$APPROVED_PROFILE" analytics request \
--app "$APP_ID" \
--access-type "$ACCESS_TYPE" \
--reuse-existing \
--output json \
> "$ASC_ANALYTICS_DIR/request.json" \
2> "$ASC_ANALYTICS_DIR/request.stderr"Do not run that command without explicit approval. Read the returned request ID from the private JSON response before continuing:
REQUEST_ID="$(jq -er '.requestId' "$ASC_ANALYTICS_DIR/request.json")"When a request was created or reused with the approved profile, set
ANALYTICS_PROFILE="$APPROVED_PROFILE". For an existing request discovered
with the read-only profile, set ANALYTICS_PROFILE="$PROFILE". Use that same
profile for every subsequent analytics view and analytics download call.
First retrieve report and instance metadata without segment URLs:
asc --profile "$ANALYTICS_PROFILE" analytics view \
--request-id "$REQUEST_ID" \
--paginate \
--output json \
> "$ASC_ANALYTICS_DIR/discovery.json" \
2> "$ASC_ANALYTICS_DIR/discovery.stderr"Select an available processingDate and the granularity requested by the user.
Accept DAILY, WEEKLY, and MONTHLY, individually or as a comma-separated
list. Split the input on commas, trim each token, and normalize it to uppercase.
Validate every token against that allowlist, including empty tokens. Report the
invalid input and stop before running analytics view; never silently discard
unsupported values or continue with an empty filter. After validation, remove
duplicates and join the remaining values with commas.
Treat processingDate as the date Apple processed the report, not necessarily
the period represented by its rows.
Retrieve the filtered inventory, including all segment metadata:
asc --profile "$ANALYTICS_PROFILE" analytics view \
--request-id "$REQUEST_ID" \
--processing-date "$PROCESSING_DATE" \
--granularity "$GRANULARITY" \
--paginate \
--include-segments \
--output json \
> "$ASC_ANALYTICS_DIR/inventory.json" \
2> "$ASC_ANALYTICS_DIR/inventory.stderr"Always use --paginate; asc follows Apple-provided report and instance next
links. Do not reconstruct, alter, or follow pagination URLs manually.
Parse inventory.json structurally. For every selected instance, enumerate all
segments and retain each segment's exact ID, sizeInBytes, and checksum for
verification. Do not print downloadUrl.
Download each segment by its request, instance, and segment IDs. Use a filename
derived only from the segment ID and keep the compressed bytes intact. Analytics
reports are tab-delimited text, so use .txt.gz rather than implying CSV:
SEGMENT_FILE="$ASC_ANALYTICS_DIR/segments/$SEGMENT_ID.txt.gz"
asc --profile "$ANALYTICS_PROFILE" analytics download \
--request-id "$REQUEST_ID" \
--instance-id "$INSTANCE_ID" \
--segment-id "$SEGMENT_ID" \
--output "$SEGMENT_FILE" \
> /dev/null \
2>> "$ASC_ANALYTICS_DIR/download.stderr"Do not use --decompress before verification. If an instance has multiple
segments, download every one; never treat the first segment as the whole report.
For each file, compare the compressed byte count with sizeInBytes and the
lowercase MD5 digest with checksum. Use local system tools such as:
actual_size="$(wc -c < "$SEGMENT_FILE" | tr -d ' ')"
actual_md5="$(openssl dgst -md5 -r "$SEGMENT_FILE" | awk '{print tolower($1)}')"
expected_md5="$(printf '%s' "$CHECKSUM" | tr '[:upper:]' '[:lower:]')"Require actual_size to equal sizeInBytes and actual_md5 to equal
expected_md5. On a mismatch, mark that segment failed, keep the raw error
private, and do not claim a complete collection. asc analytics download
refuses to overwrite an existing output, so retry the failed segment once to a
new path such as $ASC_ANALYTICS_DIR/segments/$SEGMENT_ID.retry-1.txt.gz. Verify
the retry independently and use it only if both checks pass. Keep the original
failed file unless the user approves its deletion. Do not parse or analyze a
file until verification succeeds.
Return a concise summary containing:
Do not include analytics values, signed URLs, profile names, credentials, or raw rows in a public artifact. Keep the verified files for the user's next workflow. Ask before deleting the temporary directory or any downloaded evidence.
© rorkai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/asc-analytics-reports of rorkai/app-store-connect-cli-skills.
Open the folder on GitHubat commit 9c7e769
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rorkai/app-store-connect-cli-skills, which our catalogue first saw on October 7, 2026.
App Store Connect Analytics Collector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| App Store Connect Analytics Collector this skillrorkai/app-store-connect-cli-skills | 1.1k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Setup Workspaceprobabl-ai/skills | 138 | — | ~1.5k | Automated safety check: Pass | BSD-3-Clause | |
| Cao Workflowawslabs/cli-agent-orchestrator | 1.4k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Kql Query AuthoringSCStelz/security-investigator | 250 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Apex Azure Kustojonathan-vella/apex | 217 | — | ~984 | Automated safety check: Pass | MIT | |
| Amazon Opensearch Serviceaws/agent-toolkit-for-aws | 2.8k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
probabl-ai/skills
Detect an existing ML workspace or scaffold a fresh one via python -m skoreskills scaffold --package <pkg.
awslabs/cli-agent-orchestrator
Author and run CAO Python workflow scripts — multi-step, parameterized, fan-out orchestrations executed by cao workflow run.
SCStelz/security-investigator
A skill your agent uses when asked to write, create, or help with KQL (Kusto Query Language) queries for Microsoft Sentinel, Defender XDR, or Azure Data Explorer.
jonathan-vella/apex
ANALYSIS SKILL — Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL.
aws/agent-toolkit-for-aws
Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration…
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
rorkai/app-store-connect-cli-skills
Orchestrates App Store releases with the asc CLI: staging a version, uploading or building, publishing and submitting for review, with dry-run and confirmation gates.
rorkai/app-store-connect-cli-skills
Diagnoses why an App Store version cannot be submitted or is stuck in review, using the asc CLI for validation, repair routing, status checks and retry decisions.
rorkai/app-store-connect-cli-skills
Creates a new App Store Connect app record by driving the New App form through browser automation, for cases where no public API covers app creation.
rorkai/app-store-connect-cli-skills
Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands.
rorkai/app-store-connect-cli-skills
Reconcile App Store Connect subscriptions and in-app purchases with RevenueCat products, entitlements, offerings, and packages using asc and RevenueCat MCP.
rorkai/app-store-connect-cli-skills
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources.
Works with
Categories
Collects and verifies App Store Connect analytics report segments with the asc CLI, checking size and MD5 before handing them off for analysis. 0 or newer, and refuses to fall back to the deprecated `--date` flag because it matches locally rather than by Apple's server-side processing date.
App Store Connect Analytics Collector fits situations like: downloading a complete set of App Store Connect analytics segments; verifying analytics report files against Apple's size and MD5 metadata; finding or creating an analytics report request for an app.
Run `npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a claude-code`. Or copy the skill folder (skills/asc-analytics-reports in rorkai/app-store-connect-cli-skills) into .claude/skills/asc-analytics-reports in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a codex`. Or copy the skill folder (skills/asc-analytics-reports in rorkai/app-store-connect-cli-skills) into .agents/skills/asc-analytics-reports in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/asc-analytics-reports, .gemini/skills/asc-analytics-reports, .github/skills/asc-analytics-reports and .opencode/skills/asc-analytics-reports in your project.
Going by SKILL.md and its folder, App Store Connect Analytics Collector needs the command-line tools its instructions call (jq and openssl). Our summary lists: asc CLI 3.5.0 or newer; An App Store Connect profile with analytics access.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
App Store Connect Analytics Collector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with App Store Connect Analytics Collector: Setup Workspace (probabl-ai/skills, 138 stars), Cao Workflow (awslabs/cli-agent-orchestrator, 1.4k stars), Kql Query Authoring (SCStelz/security-investigator, 250 stars) and Apex Azure Kusto (jonathan-vella/apex, 217 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rorkai (a GitHub organization) maintains it in rorkai/app-store-connect-cli-skills, which has 1,064 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 5, 2026.
Source: rorkai/app-store-connect-cli-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.