Process Inbox
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
Add a source file to the processing queue. An agent skill from agenticnotetaking/arscontexta.
$ npx skills add agenticnotetaking/arscontexta --skill seed -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agenticnotetaking/arscontexta seed --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/agenticnotetaking/arscontexta.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-sources/seed .claude/skills/seed && 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 "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .claude/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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/agenticnotetaking/arscontexta/tree/main/skill-sources/seedType 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 agenticnotetaking/arscontexta --skill seed -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agenticnotetaking/arscontexta seed --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agenticnotetaking/arscontexta.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill-sources/seed .agents/skills/seed && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .agents/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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 agenticnotetaking/arscontexta --skill seed -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agenticnotetaking/arscontexta seed --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agenticnotetaking/arscontexta.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill-sources/seed .cursor/skills/seed && 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 "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .cursor/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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/agenticnotetaking/arscontexta.git --path skill-sources/seed--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 agenticnotetaking/arscontexta --skill seed -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agenticnotetaking/arscontexta seed --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agenticnotetaking/arscontexta.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill-sources/seed .gemini/skills/seed && 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 "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .gemini/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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 agenticnotetaking/arscontexta seedInstalls 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 agenticnotetaking/arscontexta --skill seed -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agenticnotetaking/arscontexta.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill-sources/seed .github/skills/seed && 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 "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .github/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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 agenticnotetaking/arscontexta --skill seed -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agenticnotetaking/arscontexta seed --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agenticnotetaking/arscontexta.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill-sources/seed .opencode/skills/seed && 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 "seed" agent skill from https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/seed into .opencode/skills/seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seed", 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.
seedAdd a source file to the processing queue. An agent skill from agenticnotetaking/arscontexta.
Seed is an agent skill from agenticnotetaking/arscontexta. Add a source file to the processing queue. Checks for duplicates, creates archive folder, moves source from inbox, creates extract task, and updates queue. Triggers on "/seed", "/seed [file]", "queue this for processing".
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.json`).
It sits in Productivity & Automation, covering Email management. The repository describes itself as: Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you think and work, have a conversation and get a complete second brain as… The licence is MIT.
Read from SKILL.md and the folder at commit 2acfd5c. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, markdown, yaml and json).
From 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.
Seed loads about 2.4k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 748 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Grep, Glob, BashAutomated 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 agenticnotetaking/arscontexta at commit 2acfd5c, republished under its MIT licence (© agenticnotetaking). 748 words, ~2,420 tokens.
.claude/skills/seed/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Target: $ARGUMENTS
The target MUST be a file path. If no target provided, list {DOMAIN:inbox}/ contents and ask which to seed.
Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms.
START NOW. Seed the source file into the processing queue.
Confirm the target file exists. If it does not, check common locations:
{DOMAIN:inbox}/{filename}If the file cannot be found, report error and stop:
ERROR: Source file not found: {path}
Checked: {locations checked}Read the file to understand:
Check if this source has already been processed. Two levels of detection:
Search the queue file and archive folders for matching source names:
SOURCE_NAME=$(basename "$FILE" .md | tr ' ' '-' | tr '[:upper:]' '[:lower:]')
# Check queue for existing entry
# Search in ops/queue.yaml, ops/queue/queue.yaml, or ops/queue/queue.json
grep -l "$SOURCE_NAME" ops/queue*.yaml ops/queue/*.yaml ops/queue/*.json 2>/dev/null
# Check archive folders
ls -d ops/queue/archive/*-${SOURCE_NAME}* 2>/dev/nullIf semantic search is available (qmd MCP tools or CLI), check for content overlap:
mcp__qmd__search query="claims from {source filename}" limit=5Or via keyword search in the {DOMAIN:notes}/ directory:
grep -rl "{key terms from source title}" {DOMAIN:notes}/ 2>/dev/null | head -5If either check finds a match:
Create the archive folder. The date-prefixed folder name ensures uniqueness.
DATE=$(date -u +"%Y-%m-%d")
SOURCE_BASENAME=$(basename "$FILE" .md | tr ' ' '-' | tr '[:upper:]' '[:lower:]')
ARCHIVE_DIR="ops/queue/archive/${DATE}-${SOURCE_BASENAME}"
mkdir -p "$ARCHIVE_DIR"The archive folder serves two purposes:
Move the source file from its current location to the archive folder. This is the claiming step — once moved, the source is owned by this processing batch.
{DOMAIN:inbox} sources get moved:
if [[ "$FILE" == *"{DOMAIN:inbox}"* ]] || [[ "$FILE" == *"inbox"* ]]; then
mv "$FILE" "$ARCHIVE_DIR/"
FINAL_SOURCE="$ARCHIVE_DIR/$(basename "$FILE")"
fiSources outside {DOMAIN:inbox} stay in place:
# Living docs (like configuration files) stay where they are
# Archive folder is still created for task files
FINAL_SOURCE="$FILE"Use $FINAL_SOURCE in the task file — this is the path all downstream phases reference.
Why move immediately: All references (task files, {DOMAIN:note_plural}' Source footers) use the final archived path from the start. No path updates needed later. If it is in {DOMAIN:inbox}, it is unclaimed. Claimed sources live in archive.
Find the highest existing claim number across the queue and archive to ensure globally unique claim IDs.
# Check queue for highest claim number in file references
QUEUE_MAX=$(grep -oE '[0-9]{3}\.md' ops/queue*.yaml ops/queue/*.yaml 2>/dev/null | \
grep -oE '[0-9]{3}' | sort -n | tail -1)
QUEUE_MAX=${QUEUE_MAX:-0}
# Check archive for highest claim number
ARCHIVE_MAX=$(find ops/queue/archive -name "*-[0-9][0-9][0-9].md" 2>/dev/null | \
grep -v summary | sed 's/.*-\([0-9][0-9][0-9]\)\.md/\1/' | sort -n | tail -1)
ARCHIVE_MAX=${ARCHIVE_MAX:-0}
# Next claim starts after the highest
NEXT_CLAIM_START=$((QUEUE_MAX > ARCHIVE_MAX ? QUEUE_MAX + 1 : ARCHIVE_MAX + 1))Claim numbers are globally unique and never reused across batches. This ensures every claim file name ({source}-{NNN}.md) is unique vault-wide.
Write the task file to ops/queue/${SOURCE_BASENAME}.md:
---
id: {SOURCE_BASENAME}
type: extract
source: {FINAL_SOURCE}
original_path: {original file path before move}
archive_folder: {ARCHIVE_DIR}
created: {UTC timestamp}
next_claim_start: {NEXT_CLAIM_START}
---
# Extract {DOMAIN:note_plural} from {source filename}
## Source
Original: {original file path}
Archived: {FINAL_SOURCE}
Size: {line count} lines
Content type: {detected type}
## Scope
{scope guidance if provided via --scope, otherwise: "Full document"}
## Acceptance Criteria
- Extract claims, implementation ideas, tensions, and testable hypotheses
- Duplicate check against {DOMAIN:notes}/ during extraction
- Near-duplicates create enrichment tasks (do not skip)
- Each output type gets appropriate handling
## Execution Notes
(filled by /reduce)
## Outputs
(filled by /reduce)Add the extract task entry to the queue file.
For YAML queues (ops/queue.yaml):
- id: {SOURCE_BASENAME}
type: extract
status: pending
source: "{FINAL_SOURCE}"
file: "{SOURCE_BASENAME}.md"
created: "{UTC timestamp}"
next_claim_start: {NEXT_CLAIM_START}For JSON queues (ops/queue/queue.json):
{
"id": "{SOURCE_BASENAME}",
"type": "extract",
"status": "pending",
"source": "{FINAL_SOURCE}",
"file": "{SOURCE_BASENAME}.md",
"created": "{UTC timestamp}",
"next_claim_start": {NEXT_CLAIM_START}
}If no queue file exists: Create one with the appropriate schema header (phase_order definitions) and this first task entry.
--=={ seed }==--
Seeded: {SOURCE_BASENAME}
Source: {original path} -> {FINAL_SOURCE}
Archive folder: {ARCHIVE_DIR}
Size: {line count} lines
Content type: {detected type}
Task file: ops/queue/{SOURCE_BASENAME}.md
Claims will start at: {NEXT_CLAIM_START}
Claim files will be: {SOURCE_BASENAME}-{NNN}.md (unique across vault)
Queue: updated with extract task
Next steps:
/ralph 1 --batch {SOURCE_BASENAME} (extract claims)
/pipeline will handle this automaticallyManual queue management is error-prone. This skill:
Task files use the source basename for human readability:
{source-basename}.md{source-basename}-{NNN}.md{source-basename}-summary.md{date}-{source-basename}/Claim numbers (NNN) are globally unique across all batches, ensuring every filename is unique vault-wide. This is required because wiki links resolve by filename, not path.
{DOMAIN:inbox} source (most common):
{DOMAIN:inbox}/research/article.md
| /seed
v
ops/queue/archive/2026-01-30-article/article.md <- source moved here
ops/queue/article.md <- task file createdLiving doc (outside {DOMAIN:inbox}):
CLAUDE.md -> stays as CLAUDE.md (no move)
ops/queue/archive/2026-01-30-claude-md/ <- folder still created
ops/queue/claude-md.md <- task file createdWhen /archive-batch runs later, it moves task files into the existing archive folder and generates a summary.
Source outside {DOMAIN:inbox}: Works — source stays in place, archive folder is created for task files only.
No queue file: Create ops/queue/queue.yaml (or .json) with schema header and this first entry.
Large source (2500+ lines): Note in output: "Large source ({N} lines) -- /reduce will chunk automatically."
Source is a URL or non-file: Report error: "/seed requires a file path."
No ops/derivation-manifest.md: Use universal vocabulary for all output.
never:
always:
© agenticnotetaking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skill-sources/seed of agenticnotetaking/arscontexta.
Open the folder on GitHubat commit 2acfd5c
Seed 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 |
|---|---|---|---|---|---|---|
| Seed this skillagenticnotetaking/arscontexta | 3.5k | — | ~2.4k | Automated safety check: Notes | MIT | |
| Process Inboxtelegramdesktop/tdesktop | 33k | 2 repos | ~4.5k | Automated safety check: Pass | GPL-3.0 | |
| Continuetelegramdesktop/tdesktop | 33k | 2 repos | ~9.4k | Automated safety check: Pass | GPL-3.0 | |
| Garden Inboxpaperclipai/paperclip | 99k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Career-Ops Gmail Lead Plugincareer-ops-hq/career-ops | 74k | — | ~233 | Automated safety check: Notes | MIT | |
| Skill CompassEvol-ai/SkillCompass | 216 | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
telegramdesktop/tdesktop
Continue autonomous Telegram Desktop development from the shared ai-tdesktop repository.
paperclipai/paperclip
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections.
career-ops-hq/career-ops
Pulls job leads from a Gmail label into the career-ops pipeline, extracting job URLs from DMARC-passing emails and de-duplicating against existing leads.
Evol-ai/SkillCompass
Evaluate skill quality, find the weakest dimension, and apply directed improvements.
Atomic-Mail/atomic-mail-agentic
Read and write email through the Atomic Mail from an AI agent.
agenticnotetaking/arscontexta
Interactive knowledge graph analysis. An agent skill from agenticnotetaking/arscontexta.
agenticnotetaking/arscontexta
Research a topic and grow your knowledge graph. An agent skill from agenticnotetaking/arscontexta.
agenticnotetaking/arscontexta
Get research-backed architecture advice for your knowledge system.
agenticnotetaking/arscontexta
Show vault statistics and knowledge graph metrics. An agent skill from agenticnotetaking/arscontexta.
agenticnotetaking/arscontexta
Contextual guidance and command discovery. An agent skill from agenticnotetaking/arscontexta.
agenticnotetaking/arscontexta
Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals.
Categories
Add a source file to the processing queue. An agent skill from agenticnotetaking/arscontexta. Seed is an agent skill from agenticnotetaking/arscontexta. Add a source file to the processing queue.
Seed fits situations like: queue this for processing; tasks that involve Email management.
Run `npx skills add agenticnotetaking/arscontexta --skill seed -a claude-code`. Or copy the skill folder (skill-sources/seed in agenticnotetaking/arscontexta) into .claude/skills/seed in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agenticnotetaking/arscontexta --skill seed -a codex`. Or copy the skill folder (skill-sources/seed in agenticnotetaking/arscontexta) into .agents/skills/seed 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 agenticnotetaking/arscontexta --skill seed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seed, .gemini/skills/seed, .github/skills/seed and .opencode/skills/seed in your project.
SKILL.md names no scripts, command-line tools or credentials: Seed is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Seed is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k 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 Seed: Process Inbox (telegramdesktop/tdesktop, 33k stars), Continue (telegramdesktop/tdesktop, 33k stars), Garden Inbox (paperclipai/paperclip, 99k stars) and Career-Ops Gmail Lead Plugin (career-ops-hq/career-ops, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agenticnotetaking (a GitHub organization) maintains it in agenticnotetaking/arscontexta, which has 3,492 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on February 24, 2026.
Source: agenticnotetaking/arscontexta on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.