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Tres Recon Gaps Skill for Claude

> Query, display, and resolve reconciliation gaps from the TRES Finance MCP connector. Trigger this skill ONLY when the user explicitly requests to view or close reconciliation for today", "plug the reconciliation gaps for ETH", "fix the gaps for USDC and BTC". Do NOT trigger for general balance queries, transaction history, or ledger browsing. fetching gap data, enriching with fiat and on-chain balances, rendering an HTML dashboard where each gap row has copy-prompt buttons (Plug / Auto-fill) — clicking copies a ready-to-paste Claude prompt for that gap. The user pastes it in the chat and Claude executes the action. Ends with a data collect once the user is done.

4k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
336
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/anthropics/claude-plugins-community --skill tres-recon-gaps

What comes with it

4 209 bytes besides the instruction
references/html-template-notes.md

The instruction itself

15 sections, as written by the author

TRES Reconciliation Gaps Skill

End-to-end workflow for surfacing, analyzing, and resolving reconciliation gaps in TRES Finance.


Pre-flight: confirm date and asset scope

Before fetching any data, confirm two things with the user:

1. Target date

The reconciliation queries are scoped to a specific date (the endDate parameter).

  • If the user explicitly stated a date — use it.
  • If the user did not mention a date — assume today's date and inform them:

> "I'll fetch reconciliation gaps for today (YYYY-MM-DD). Let me know if you want a different date."

Use ISO format YYYY-MM-DD throughout.

2. Asset filter (optional)

  • If the user named specific assets (e.g. "for ETH and USDC", "just BTC") — note them. After fetching, filter the results to only those asset.symbol values before displaying.
  • If the user did not specify assets — fetch and display all gaps.

Step 1 — Fetch reconciliation gaps

Use the reconciliation query. Always pass the confirmed endDate. Fetch up to 200 at a time.

query GetReconciliationGaps($limit: Int, $offset: Int, $endDate: Date) {
  reconciliation(limit: $limit, offset: $offset, endDate: $endDate) {
    totalCount
    results {
      id
      amount
      calculatedBalance
      state
      status
      gap
      belongsTo {
        id
        name
        identifier
      }
      asset {
        key
        identifier
        symbol
        platform
      }
      pendingTransactionsCount
      pendingTransactionsTotalAmount
    }
  }
}

Variables: {"limit": 200, "offset": 0, "endDate": "<confirmed-date>"}

> Note: gap = calculatedBalance − historicalBalance. Positive means the ledger has *more* than on-chain; negative means the ledger has *less*.

If the user requested specific assets, filter the results now: keep only rows where asset.symbol matches the requested symbols (case-insensitive).


Step 2 — Enrich with fiat values and on-chain balances

Take all IDs from the (filtered) Step 1 results and query assetBalance:

query GetAssetBalancesWithFiat($ids: [String], $limit: Int, $currency: String) {
  assetBalance(id_In: $ids, limit: $limit, currency: $currency, excludeUnderDelegation: true) {
    totalCount
    results {
      id
      calculatedBalance
      historicalBalance
      reconciliation
      fiatValue {
        value
        unitPrice
        fiatCurrency
      }
      belongsTo {
        id
        name
        identifier
      }
      asset {
        key
        symbol
        platform
        identifier
      }
    }
  }
}

Variables: {"currency": "usd", "ids": ["<id1>", "<id2>", ...], "limit": 200}

Important: id_In expects [String], not [ID].

Compute for each row:

fiatGap = reconciliation (token gap) × fiatValue.unitPrice

Step 3 — Display: always render the HTML dashboard

Always generate a standalone .html file as the primary output — do not fall back to an inline widget.

Read references/html-template-notes.md for the full visual spec (fonts, colors, layout, column widths, modal behavior, API call mechanism).

Key requirements for the generated file:

  • Dark financial dashboard aesthetic (spec in reference file)
  • Sticky header showing the target date and a refresh timestamp badge
  • 5 summary metric cards: net fiat gap, positive gap count, negative gap count, asset group count, pending tx count
  • If an asset filter was applied, show a visible filter badge in the toolbar (e.g. Filtered: ETH, USDC)
  • Search + direction filter + platform filter toolbar
  • Asset-grouped collapsible sections, sorted by absolute net fiat gap descending
  • Full column set per row — last column has two copy-prompt buttons: ↳ Plug (blue) and ⟳ Auto-fill (purple)
  • Clicking either button copies a ready-to-paste prompt to clipboard and shows a toast: "Prompt copied — paste it in the Claude chat to resolve this gap."
  • No HTTP requests — the HTML is a pure display interface; all mutations happen in Claude after the user pastes the prompt

After generating the file, present it to the user with present_files.


Step 4 — Actions (plug-once and auto-fill)

The user triggers actions by copying a prompt from the HTML dashboard and pasting it into the Claude chat. When Claude receives one of these prompts, execute the corresponding mutation immediately — no further confirmation needed (the user already chose the action in the dashboard).

One-time plug (createPlug)

mutation CreatePlug(
  $hash: String!
  $platform: Platform!
  $timestamp: DateTime!
  $belongsToId: ID!
  $assetId: ID!
  $assetIdentifier: String!
  $amount: Float!
  $direction: Direction!
  $thirdPartyIdentifier: String!
) {
  createPlug(
    hash: $hash
    platform: $platform
    timestamp: $timestamp
    belongsToId: $belongsToId
    assetId: $assetId
    assetIdentifier: $assetIdentifier
    amount: $amount
    direction: $direction
    thirdPartyIdentifier: $thirdPartyIdentifier
  ) {
    transaction { id identifier platform timestamp }
  }
}

Variable mapping:

| Field | Value |

|---|---|

| hash | plug_<assetId>_<walletId>_<timestamp_ms> |

| platform | asset.platform |

| timestamp | new Date().toISOString() |

| belongsToId | belongsTo.id |

| assetId | asset.key |

| assetIdentifier | asset.identifier (use "native" for native assets like ETH/AVAX) |

| amount | Math.abs(gap) |

| direction | gap > 0 ? "INFLOW" : "OUTFLOW" |

| thirdPartyIdentifier | belongsTo.identifier (wallet address) |

Auto gap-fill rule (createReconciliationGapFillRule)

mutation CreateGapFillRule(
  $name: String!
  $assetId: String!
  $internalAccountId: Int!
  $interval: Interval!
  $startDate: Date!
  $endDate: Date!
) {
  createReconciliationGapFillRule(
    name: $name
    assetId: $assetId
    internalAccountId: $internalAccountId
    interval: $interval
    startDate: $startDate
    endDate: $endDate
  ) {
    success
    message
    ruleId
  }
}

Variable mapping:

| Field | Value |

|---|---|

| name | User-editable rule name (pre-filled: Auto gap-fill · <asset> · <wallet>) |

| assetId | asset.key |

| internalAccountId | parseInt(belongsTo.id) — must be Int! |

| interval | DAILY / WEEKLY / MONTHLY |

| startDate | ISO date string, e.g. "2026-04-07" |

| endDate | ISO date string (default: 2 years from today) |


Step 5 — Run data collect after plugs are done

Once the user indicates they are finished adding plugs (e.g. "done", "that's all", "looks good"), run a data collect to sync the updated state.

Use the triggerDataCollect mutation (or equivalent — introspect with get_schema_summary if needed):

mutation TriggerDataCollect {
  triggerDataCollect {
    success
    message
  }
}

After it completes, inform the user:

> "Data collect triggered — TRES will now sync the latest on-chain balances. The reconciliation gaps should update shortly."


Grouping and sorting logic

Default grouping: by asset symbol

  • Group all rows sharing the same asset.symbol into one group
  • Net fiat gap shown per group header
  • Sort groups by absolute net fiat gap descending
  • Sort rows within each group by absolute fiat gap descending

Alternative: group by wallet (if user requests it)

  • Group by belongsTo.identifier
  • Same sorting logic

Always order by fiat gap, not token gap.


Number formatting conventions

// Fiat values
≥ $1M  → "$X.XXXM"
≥ $1K  → "$X.XXK"
< $1K  → "$X.XX"

// Token quantities
≥ 1B   → "X.XXXB"
≥ 1M   → "X.XXXM"
≥ 1K   → "X.XXXK"
< 1K   → up to 6 significant figures, trim trailing zeros

// Signs
Positive gaps: "+" prefix
Negative gaps: "−" (minus sign, not hyphen)
No sign:       absolute values (on-chain bal, calculated bal)

Common edge cases

| Situation | Handling |

|---|---|

| unitPrice = 0 | Show "—" for fiat gap; token gap still displays |

| historicalBalance is negative | Display as-is; flag visually if extreme |

| pendingTransactionsCount > 0 | Show amber warning badge — pending txs may reduce the gap once confirmed |

| Very large token gaps with tiny fiat value | Still show; sort by fiat means they appear near bottom |

| gap field timeouts on large datasets | Use assetBalance.reconciliation field instead (same value, more reliable) |

| Asset filter yields zero rows | Inform the user: "No gaps found for [assets] on [date]" |


Key schema facts (verified)

  • reconciliation query — has endDate parameter; returns gap and basic balance fields
  • assetBalance query — returns historicalBalance, reconciliation (= gap), and fiatValue { value, unitPrice }; prefer for enriched data
  • assetBalance(id_In: [String]) — note [String] not [ID]
  • createPlugbelongsToId is ID!, assetId is ID! (pass the asset key string)
  • createReconciliationGapFillRuleinternalAccountId is Int!; assetId is String!; interval is Interval! enum
  • Platform enum values: ETHEREUM, BASE, ARBITRUM, OPTIMISM, POLYGON, AVAX, AVALANCHE_P_CHAIN, MANTRA, etc.

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How to use it

Copy the folder

Take anthropics/tres-recon-gaps from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.